diff --git a/Solar-Fullstack-LLM-101/14_Reasoning.ipynb b/Solar-Fullstack-LLM-101/14_Reasoning.ipynb
index 4e8d3b8..0a4c001 100644
--- a/Solar-Fullstack-LLM-101/14_Reasoning.ipynb
+++ b/Solar-Fullstack-LLM-101/14_Reasoning.ipynb
@@ -1,596 +1,699 @@
{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\")
\n",
- ""
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# 14. Reasoning"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Goal\n",
- "Apply reasoning and CoT in the prompt."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "! pip3 install -qU langchain-upstage requests python-dotenv datasets arize-phoenix"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## UPSTAGE_API_KEY\n",
- "To obtain your Upstage API key, follow these steps:\n",
- "\n",
- "1. Visit the Upstage AI console at .\n",
- "2. Sign up for an account if you don't already have one.\n",
- "3. Log in to your account.\n",
- "4. Navigate to the API key section.\n",
- "5. Generate your API key.\n",
- "6. Copy the key and save it securely.\n",
- "\n",
- ""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "# @title set API key\n",
- "from pprint import pprint\n",
- "import os\n",
- "\n",
- "import warnings\n",
- "\n",
- "warnings.filterwarnings(\"ignore\")\n",
- "\n",
- "if \"google.colab\" in str(get_ipython()):\n",
- " # Running in Google Colab. Please set the UPSTAGE_API_KEY in the Colab Secrets\n",
- " from google.colab import userdata\n",
- "\n",
- " os.environ[\"UPSTAGE_API_KEY\"] = userdata.get(\"UPSTAGE_API_KEY\")\n",
- "else:\n",
- " # Running locally. Please set the UPSTAGE_API_KEY in the .env file\n",
- " from dotenv import load_dotenv\n",
- "\n",
- " load_dotenv()\n",
- "\n",
- "assert (\n",
- " \"UPSTAGE_API_KEY\" in os.environ\n",
- "), \"Please set the UPSTAGE_API_KEY environment variable\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [
+ "cells": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "🌍 To view the Phoenix app in your browser, visit http://localhost:6006/\n",
- "📖 For more information on how to use Phoenix, check out https://docs.arize.com/phoenix\n"
- ]
- }
- ],
- "source": [
- "import phoenix as px\n",
- "\n",
- "ssession = px.launch_app()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "1wENfKv_jcdq"
+ },
+ "source": [
+ "\n",
+ "\n",
+ ""
+ ]
+ },
{
- "data": {
- "text/plain": [
- ">"
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "yL9Ci8Ofjcdr"
+ },
+ "source": [
+ "# 14. Reasoning"
]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from phoenix.trace.langchain import LangChainInstrumentor\n",
- "\n",
- "LangChainInstrumentor().instrument"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "from datasets import load_dataset\n",
- "\n",
- "ds = load_dataset(\"SkunkworksAI/reasoning-0.01\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
+ },
{
- "data": {
- "text/plain": [
- "DatasetDict({\n",
- " train: Dataset({\n",
- " features: ['instruction', 'reasoning', 'output', 'reasoning_chains'],\n",
- " num_rows: 29857\n",
- " })\n",
- "})"
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "dStdKMBljcds"
+ },
+ "source": [
+ "## Goal\n",
+ "Apply reasoning and CoT in the prompt."
]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "ds"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [
+ },
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "('----\\n'\n",
- " 'Example 1:\\n'\n",
- " '\\n'\n",
- " 'Instruction: If a die is rolled three times, what is the probability of '\n",
- " 'getting a sum of 11? None\\n'\n",
- " '\\n'\n",
- " 'Reasoning: 1. Understand the problem: We need to find the probability of '\n",
- " 'getting a sum of 11 when rolling a die three times.\\n'\n",
- " '2. Calculate total possible outcomes: A die has 6 faces, so for each roll, '\n",
- " 'there are 6 possibilities. For three rolls, the total possible outcomes are '\n",
- " '6^3 = 216.\\n'\n",
- " '3. Identify favorable outcomes: List all combinations of rolls that result '\n",
- " 'in a sum of 11. There are 18 such combinations.\\n'\n",
- " '4. Calculate probability: Divide the number of favorable outcomes by the '\n",
- " 'total possible outcomes: 18 / 216 = 1/12.\\n'\n",
- " '5. Conclusion: The probability of getting a sum of 11 when rolling a die '\n",
- " 'three times is 1/12.\\n'\n",
- " '\\n'\n",
- " \"Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need \"\n",
- " 'to find the probability of getting a sum of 11 when rolling a die three '\n",
- " \"times.'}, {'step': 2, 'thought': 'Calculate total possible outcomes: A die \"\n",
- " 'has 6 faces, so for each roll, there are 6 possibilities. For three rolls, '\n",
- " \"the total possible outcomes are 6^3 = 216.'}, {'step': 3, 'thought': \"\n",
- " \"'Identify favorable outcomes: List all combinations of rolls that result in \"\n",
- " \"a sum of 11. There are 18 such combinations.'}, {'step': 4, 'thought': \"\n",
- " \"'Calculate probability: Divide the number of favorable outcomes by the total \"\n",
- " \"possible outcomes: 18 / 216 = 1/12.'}, {'step': 5, 'thought': 'Conclusion: \"\n",
- " 'The probability of getting a sum of 11 when rolling a die three times is '\n",
- " \"1/12.'}]\\n\"\n",
- " '----\\n'\n",
- " 'Example 2:\\n'\n",
- " '\\n'\n",
- " 'Instruction: The interactions will be about the science behind culinary '\n",
- " 'techniques. The setting is a cooking class where three friends are '\n",
- " 'discussing various aspects of cooking and sharing their knowledge.\\n'\n",
- " '- USER/Jane: A curious learner who wants to understand the science behind '\n",
- " 'cooking\\n'\n",
- " '- Mike: An experienced home cook with a passion for experimenting in the '\n",
- " 'kitchen\\n'\n",
- " '- Sarah: A food scientist who loves explaining the chemistry behind '\n",
- " 'different cooking processes\\n'\n",
- " '\\n'\n",
- " ' None\\n'\n",
- " '\\n'\n",
- " 'Reasoning: 1. Start with the given setting: a cooking class with three '\n",
- " 'friends discussing the science behind culinary techniques.\\n'\n",
- " '2. Introduce the topic of resting meat after cooking, with Mike asking Jane '\n",
- " \"if she's ever wondered about it.\\n\"\n",
- " '3. Have Sarah explain the science behind resting meat, mentioning denatured '\n",
- " 'proteins and juice redistribution.\\n'\n",
- " \"4. Address the user's question about resting meat, with Sarah confirming \"\n",
- " 'that it allows juices to redistribute.\\n'\n",
- " '5. Move on to the topic of adding salt to water, with Mike mentioning its '\n",
- " 'effect on boiling point.\\n'\n",
- " \"6. Have Sarah explain the science behind salt's effect on boiling point, \"\n",
- " 'mentioning the higher temperature required for boiling.\\n'\n",
- " \"7. Address the user's question about cooking speed, with Sarah explaining \"\n",
- " \"that it's slightly faster due to the hotter water.\\n\"\n",
- " '8. Introduce the topic of acids in cooking, with Mike mentioning their use '\n",
- " 'in brightening dishes.\\n'\n",
- " \"9. Have Sarah explain the science behind acids' effects on flavor and \"\n",
- " 'tenderizing meats.\\n'\n",
- " \"10. Address the user's question about baking, with Mike mentioning the \"\n",
- " 'science involved in baking and Sarah explaining the role of gluten and '\n",
- " 'leavening agents.\\n'\n",
- " '11. Conclude the conversation with the characters expressing their '\n",
- " 'fascination with the science behind cooking and their excitement to continue '\n",
- " 'learning and experimenting.\\n'\n",
- " '\\n'\n",
- " \"Reasoning Chains: [{'step': 1, 'thought': 'Start with the given setting: a \"\n",
- " 'cooking class with three friends discussing the science behind culinary '\n",
- " 'techniques.\\'}, {\\'step\\': 2, \\'thought\\': \"Introduce the topic of resting '\n",
- " \"meat after cooking, with Mike asking Jane if she's ever wondered about \"\n",
- " 'it.\"}, {\\'step\\': 3, \\'thought\\': \\'Have Sarah explain the science behind '\n",
- " \"resting meat, mentioning denatured proteins and juice redistribution.'}, \"\n",
- " '{\\'step\\': 4, \\'thought\\': \"Address the user\\'s question about resting meat, '\n",
- " 'with Sarah confirming that it allows juices to redistribute.\"}, {\\'step\\': '\n",
- " \"5, 'thought': 'Move on to the topic of adding salt to water, with Mike \"\n",
- " 'mentioning its effect on boiling point.\\'}, {\\'step\\': 6, \\'thought\\': \"Have '\n",
- " \"Sarah explain the science behind salt's effect on boiling point, mentioning \"\n",
- " 'the higher temperature required for boiling.\"}, {\\'step\\': 7, \\'thought\\': '\n",
- " '\"Address the user\\'s question about cooking speed, with Sarah explaining '\n",
- " 'that it\\'s slightly faster due to the hotter water.\"}, {\\'step\\': 8, '\n",
- " \"'thought': 'Introduce the topic of acids in cooking, with Mike mentioning \"\n",
- " 'their use in brightening dishes.\\'}, {\\'step\\': 9, \\'thought\\': \"Have Sarah '\n",
- " \"explain the science behind acids' effects on flavor and tenderizing \"\n",
- " 'meats.\"}, {\\'step\\': 10, \\'thought\\': \"Address the user\\'s question about '\n",
- " 'baking, with Mike mentioning the science involved in baking and Sarah '\n",
- " 'explaining the role of gluten and leavening agents.\"}, {\\'step\\': 11, '\n",
- " \"'thought': 'Conclude the conversation with the characters expressing their \"\n",
- " 'fascination with the science behind cooking and their excitement to continue '\n",
- " \"learning and experimenting.'}]\\n\")\n"
- ]
- }
- ],
- "source": [
- "# DatasetDict({\n",
- "# train: Dataset({\n",
- "# features: ['instruction', 'reasoning', 'output', 'reasoning_chains'],\n",
- "# num_rows: 29857\n",
- "# })\n",
- "# })\n",
- "\n",
- "# Let's take a look at the first five examples in the training set\n",
- "# Skip Output: {example['output']}\n",
- "reasoning_chain_examples = \"\"\n",
- "for i, example in enumerate(ds[\"train\"].select(range(2))):\n",
- " reasoning_chain_examples += f\"\"\"----\n",
- "Example {i + 1}:\n",
- "\n",
- "Instruction: {example['instruction']}\n",
- "\n",
- "Reasoning: {example['reasoning']}\n",
- "\n",
- "Reasoning Chains: {example['reasoning_chains']}\n",
- "\"\"\"\n",
- "\n",
- "pprint(reasoning_chain_examples)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "id": "1iCAb4EGjcds"
+ },
+ "outputs": [],
+ "source": [
+ "! pip3 install -qU langchain-upstage requests python-dotenv datasets arize-phoenix openinference-instrumentation-langchain"
+ ]
+ },
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Human: Given Instruction, please generate {what}. Please use the following exampels.\n",
- " If reasoning and/or reasoning chains are provided, please use them as context to generate the {what}.\n",
- " Please only generate the {what} and do not include others.\n",
- " \n",
- " See the examples below:\n",
- " ----\n",
- "Example 1:\n",
- "\n",
- "Instruction: If a die is rolled three times, what is the probability of getting a sum of 11? None\n",
- "\n",
- "Reasoning: 1. Understand the problem: We need to find the probability of getting a sum of 11 when rolling a die three times.\n",
- "2. Calculate total possible outcomes: A die has 6 faces, so for each roll, there are 6 possibilities. For three rolls, the total possible outcomes are 6^3 = 216.\n",
- "3. Identify favorable outcomes: List all combinations of rolls that result in a sum of 11. There are 18 such combinations.\n",
- "4. Calculate probability: Divide the number of favorable outcomes by the total possible outcomes: 18 / 216 = 1/12.\n",
- "5. Conclusion: The probability of getting a sum of 11 when rolling a die three times is 1/12.\n",
- "\n",
- "Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need to find the probability of getting a sum of 11 when rolling a die three times.'}, {'step': 2, 'thought': 'Calculate total possible outcomes: A die has 6 faces, so for each roll, there are 6 possibilities. For three rolls, the total possible outcomes are 6^3 = 216.'}, {'step': 3, 'thought': 'Identify favorable outcomes: List all combinations of rolls that result in a sum of 11. There are 18 such combinations.'}, {'step': 4, 'thought': 'Calculate probability: Divide the number of favorable outcomes by the total possible outcomes: 18 / 216 = 1/12.'}, {'step': 5, 'thought': 'Conclusion: The probability of getting a sum of 11 when rolling a die three times is 1/12.'}]\n",
- "----\n",
- "Example 2:\n",
- "\n",
- "Instruction: The interactions will be about the science behind culinary techniques. The setting is a cooking class where three friends are discussing various aspects of cooking and sharing their knowledge.\n",
- "- USER/Jane: A curious learner who wants to understand the science behind cooking\n",
- "- Mike: An experienced home cook with a passion for experimenting in the kitchen\n",
- "- Sarah: A food scientist who loves explaining the chemistry behind different cooking processes\n",
- "\n",
- " None\n",
- "\n",
- "Reasoning: 1. Start with the given setting: a cooking class with three friends discussing the science behind culinary techniques.\n",
- "2. Introduce the topic of resting meat after cooking, with Mike asking Jane if she's ever wondered about it.\n",
- "3. Have Sarah explain the science behind resting meat, mentioning denatured proteins and juice redistribution.\n",
- "4. Address the user's question about resting meat, with Sarah confirming that it allows juices to redistribute.\n",
- "5. Move on to the topic of adding salt to water, with Mike mentioning its effect on boiling point.\n",
- "6. Have Sarah explain the science behind salt's effect on boiling point, mentioning the higher temperature required for boiling.\n",
- "7. Address the user's question about cooking speed, with Sarah explaining that it's slightly faster due to the hotter water.\n",
- "8. Introduce the topic of acids in cooking, with Mike mentioning their use in brightening dishes.\n",
- "9. Have Sarah explain the science behind acids' effects on flavor and tenderizing meats.\n",
- "10. Address the user's question about baking, with Mike mentioning the science involved in baking and Sarah explaining the role of gluten and leavening agents.\n",
- "11. Conclude the conversation with the characters expressing their fascination with the science behind cooking and their excitement to continue learning and experimenting.\n",
- "\n",
- "Reasoning Chains: [{'step': 1, 'thought': 'Start with the given setting: a cooking class with three friends discussing the science behind culinary techniques.'}, {'step': 2, 'thought': \"Introduce the topic of resting meat after cooking, with Mike asking Jane if she's ever wondered about it.\"}, {'step': 3, 'thought': 'Have Sarah explain the science behind resting meat, mentioning denatured proteins and juice redistribution.'}, {'step': 4, 'thought': \"Address the user's question about resting meat, with Sarah confirming that it allows juices to redistribute.\"}, {'step': 5, 'thought': 'Move on to the topic of adding salt to water, with Mike mentioning its effect on boiling point.'}, {'step': 6, 'thought': \"Have Sarah explain the science behind salt's effect on boiling point, mentioning the higher temperature required for boiling.\"}, {'step': 7, 'thought': \"Address the user's question about cooking speed, with Sarah explaining that it's slightly faster due to the hotter water.\"}, {'step': 8, 'thought': 'Introduce the topic of acids in cooking, with Mike mentioning their use in brightening dishes.'}, {'step': 9, 'thought': \"Have Sarah explain the science behind acids' effects on flavor and tenderizing meats.\"}, {'step': 10, 'thought': \"Address the user's question about baking, with Mike mentioning the science involved in baking and Sarah explaining the role of gluten and leavening agents.\"}, {'step': 11, 'thought': 'Conclude the conversation with the characters expressing their fascination with the science behind cooking and their excitement to continue learning and experimenting.'}]\n",
- "\n",
- " ---\n",
- " \n",
- " Instruction: {instruction}\n",
- " --\n",
- " {reasoning}\n",
- " --\n",
- " {reasoning_chains} \n",
- " \n"
- ]
- }
- ],
- "source": [
- "from langchain_core.prompts import PromptTemplate, ChatPromptTemplate\n",
- "from langchain_core.output_parsers import StrOutputParser\n",
- "from langchain_upstage import ChatUpstage\n",
- "\n",
- "reasoning_chain_teample = ChatPromptTemplate.from_messages(\n",
- " [\n",
- " (\n",
- " \"human\",\n",
- " \"\"\"Given Instruction, please generate {what}. Please use the following exampels.\n",
- " If reasoning and/or reasoning chains are provided, please use them as context to generate the {what}.\n",
- " Please only generate the {what} and do not include others.\n",
- " \n",
- " See the examples below:\n",
- " {examples}\n",
- " ---\n",
- " \n",
- " Instruction: {instruction}\n",
- " --\n",
- " {reasoning}\n",
- " --\n",
- " {reasoning_chains} \n",
- " \"\"\",\n",
- " )\n",
- " ]\n",
- ")\n",
- "\n",
- "\n",
- "promt_example = reasoning_chain_teample.format(\n",
- " what=\"{what}\",\n",
- " instruction=\"{instruction}\",\n",
- " reasoning=\"{reasoning}\",\n",
- " reasoning_chains=\"{reasoning_chains}\",\n",
- " examples=reasoning_chain_examples,\n",
- ")\n",
- "print(promt_example)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": []
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {},
- "outputs": [],
- "source": [
- "llm = ChatUpstage(model=\"solar-pro\")\n",
- "chain = reasoning_chain_teample | llm | StrOutputParser()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [],
- "source": [
- "instruction = \"3.11 vs 3.9 which one is greater?\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "JtwI22PXjcds"
+ },
+ "source": [
+ "## UPSTAGE_API_KEY\n",
+ "To obtain your Upstage API key, follow these steps:\n",
+ "\n",
+ "1. Visit the Upstage AI console at .\n",
+ "2. Sign up for an account if you don't already have one.\n",
+ "3. Log in to your account.\n",
+ "4. Navigate to the API key section.\n",
+ "5. Generate your API key.\n",
+ "6. Copy the key and save it securely.\n",
+ "\n",
+ ""
+ ]
+ },
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "('Reasoning: 1. Identify the problem: We need to compare the numerical values '\n",
- " 'of 3.11 and 3.9.\\n'\n",
- " '2. Understand place values: Recognize that both numbers have the same whole '\n",
- " 'number part (3), so we only need to compare the decimal parts (0.11 and '\n",
- " '0.9).\\n'\n",
- " '3. Compare decimal parts: Since 0.9 is greater than 0.11, the number with '\n",
- " '0.9 as its decimal part is greater.\\n'\n",
- " '4. Conclude: Based on the comparison, 3.9 is greater than 3.11.\\n'\n",
- " '\\n'\n",
- " \"Reasoning Chains: [{'step': 1, 'thought': 'Identify the problem: We need to \"\n",
- " \"compare the numerical values of 3.11 and 3.9.'}, {'step': 2, 'thought': \"\n",
- " \"'Understand place values: Recognize that both numbers have the same whole \"\n",
- " 'number part (3), so we only need to compare the decimal parts (0.11 and '\n",
- " \"0.9).'}, {'step': 3, 'thought': 'Compare decimal parts: Since 0.9 is greater \"\n",
- " \"than 0.11, the number with 0.9 as its decimal part is greater.'}, {'step': \"\n",
- " \"4, 'thought': 'Conclude: Based on the comparison, 3.9 is greater than \"\n",
- " \"3.11.'}]\")\n"
- ]
- }
- ],
- "source": [
- "reasoning = chain.invoke(\n",
- " {\n",
- " \"instruction\": instruction,\n",
- " \"reasoning\": \"\",\n",
- " \"reasoning_chains\": \"\",\n",
- " \"what\": \"reasoning\",\n",
- " \"examples\": reasoning_chain_examples,\n",
- " }\n",
- ")\n",
- "\n",
- "pprint(reasoning)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "id": "LiXXGlRJjcds"
+ },
+ "outputs": [],
+ "source": [
+ "# @title set API key\n",
+ "from pprint import pprint\n",
+ "import os\n",
+ "\n",
+ "import warnings\n",
+ "\n",
+ "warnings.filterwarnings(\"ignore\")\n",
+ "\n",
+ "if \"google.colab\" in str(get_ipython()):\n",
+ " # Running in Google Colab. Please set the UPSTAGE_API_KEY in the Colab Secrets\n",
+ " from google.colab import userdata\n",
+ "\n",
+ " os.environ[\"UPSTAGE_API_KEY\"] = userdata.get(\"UPSTAGE_API_KEY\")\n",
+ "else:\n",
+ " # Running locally. Please set the UPSTAGE_API_KEY in the .env file\n",
+ " from dotenv import load_dotenv\n",
+ "\n",
+ " load_dotenv()\n",
+ "\n",
+ "assert (\n",
+ " \"UPSTAGE_API_KEY\" in os.environ\n",
+ "), \"Please set the UPSTAGE_API_KEY environment variable\""
+ ]
+ },
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "('Reasoning: 1. Understand the problem: We need to compare two decimal '\n",
- " 'numbers, 3.11 and 3.9, to determine which one is greater.\\n'\n",
- " '2. Compare the whole number parts: Both numbers have the same whole number '\n",
- " 'part, which is 3.\\n'\n",
- " '3. Compare the decimal parts: Look at the first decimal place. For 3.11, '\n",
- " \"it's 1, and for 3.9, it's 9. Since 9 is greater than 1, 3.9 is greater than \"\n",
- " '3.11.\\n'\n",
- " '4. Conclusion: 3.9 is greater than 3.11.\\n'\n",
- " '\\n'\n",
- " \"Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need \"\n",
- " 'to compare two decimal numbers, 3.11 and 3.9, to determine which one is '\n",
- " \"greater.'}, {'step': 2, 'thought': 'Compare the whole number parts: Both \"\n",
- " \"numbers have the same whole number part, which is 3.'}, {'step': 3, \"\n",
- " \"'thought': 'Compare the decimal parts: Look at the first decimal place. For \"\n",
- " \"3.11, it\\\\'s 1, and for 3.9, it\\\\'s 9. Since 9 is greater than 1, 3.9 is \"\n",
- " \"greater than 3.11.'}, {'step': 4, 'thought': 'Conclusion: 3.9 is greater \"\n",
- " \"than 3.11.'}]\")\n"
- ]
- }
- ],
- "source": [
- "reasoning = chain.invoke(\n",
- " {\n",
- " \"instruction\": instruction,\n",
- " \"reasoning\": \"\",\n",
- " \"reasoning_chains\": \"\",\n",
- " \"what\": \"reasoning\",\n",
- " \"examples\": reasoning_chain_examples,\n",
- " }\n",
- ")\n",
- "\n",
- "pprint(reasoning)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 69
+ },
+ "id": "t_IpbqFGjcds",
+ "outputId": "d914f467-71b2-44df-efd9-ba9b49ba89c3"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "🌍 To view the Phoenix app in your browser, visit https://xylx1gv2ve9-496ff2e9c6d22116-6006-colab.googleusercontent.com/\n",
+ "📖 For more information on how to use Phoenix, check out https://docs.arize.com/phoenix\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 3
+ }
+ ],
+ "source": [
+ "import phoenix as px\n",
+ "\n",
+ "px.launch_app()"
+ ]
+ },
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "('Reasoning: Reasoning: 1. Understand the problem: We need to compare two '\n",
- " 'decimal numbers, 3.11 and 3.9, to determine which one is greater.\\n'\n",
- " '2. Compare the whole number parts: Both numbers have the same whole number '\n",
- " 'part, which is 3.\\n'\n",
- " '3. Compare the decimal parts: Look at the first decimal place. For 3.11, '\n",
- " \"it's 1, and for 3.9, it's 9. Since 9 is greater than 1, 3.9 is greater than \"\n",
- " '3.11.\\n'\n",
- " '4. Conclusion: 3.9 is greater than 3.11.\\n'\n",
- " '\\n'\n",
- " \"Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need \"\n",
- " 'to compare two decimal numbers, 3.11 and 3.9, to determine which one is '\n",
- " \"greater.'}, {'step': 2, 'thought': 'Compare the whole number parts: Both \"\n",
- " \"numbers have the same whole number part, which is 3.'}, {'step': 3, \"\n",
- " \"'thought': 'Compare the decimal parts: Look at the first decimal place. For \"\n",
- " \"3.11, it\\\\'s 1, and for 3.9, it\\\\'s 9. Since 9 is greater than 1, 3.9 is \"\n",
- " \"greater than 3.11.'}, {'step': 4, 'thought': 'Conclusion: 3.9 is greater \"\n",
- " \"than 3.11.'}]\")\n"
- ]
- }
- ],
- "source": [
- "reasoning_chain = chain.invoke(\n",
- " {\n",
- " \"instruction\": instruction,\n",
- " \"reasoning\": f\"Reasoning: {reasoning}\",\n",
- " \"reasoning_chains\": \"\",\n",
- " \"what\": \"reasoning chain\",\n",
- " \"examples\": reasoning_chain_examples,\n",
- " }\n",
- ")\n",
- "\n",
- "pprint(reasoning_chain)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {},
- "outputs": [
+ "cell_type": "code",
+ "source": [
+ "from phoenix.otel import register\n",
+ "\n",
+ "tracer_provider = register(\n",
+ " project_name=\"reasoning\", # Default is 'default'\n",
+ ")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "d5LIEVPZxDxh",
+ "outputId": "5850b17a-fd37-471d-ab82-3dd03b6733ef"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "🔭 OpenTelemetry Tracing Details 🔭\n",
+ "| Phoenix Project: reasoning\n",
+ "| Span Processor: SimpleSpanProcessor\n",
+ "| Collector Endpoint: localhost:4317\n",
+ "| Transport: gRPC\n",
+ "| Transport Headers: {'user-agent': '****'}\n",
+ "| \n",
+ "| Using a default SpanProcessor. `add_span_processor` will overwrite this default.\n",
+ "| \n",
+ "| `register` has set this TracerProvider as the global OpenTelemetry default.\n",
+ "| To disable this behavior, call `register` with `set_global_tracer_provider=False`.\n",
+ "\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "id": "0Yn4WRGqjcdt"
+ },
+ "outputs": [],
+ "source": [
+ "from openinference.instrumentation.langchain import LangChainInstrumentor\n",
+ "\n",
+ "LangChainInstrumentor().instrument(tracer_provider=tracer_provider)"
+ ]
+ },
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "'3.9'\n"
- ]
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "id": "al1_0GWMjcdt"
+ },
+ "outputs": [],
+ "source": [
+ "from datasets import load_dataset\n",
+ "\n",
+ "ds = load_dataset(\"SkunkworksAI/reasoning-0.01\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "JFuqj2fJjcdt",
+ "outputId": "19c52097-896a-452a-afd6-28d542672f70"
+ },
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "DatasetDict({\n",
+ " train: Dataset({\n",
+ " features: ['instruction', 'reasoning', 'output', 'reasoning_chains'],\n",
+ " num_rows: 29857\n",
+ " })\n",
+ "})"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 7
+ }
+ ],
+ "source": [
+ "ds"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "tLvFMWNPjcdt",
+ "outputId": "87488305-3661-42e9-b0af-5ee552f4e118"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "('----\\n'\n",
+ " 'Example 1:\\n'\n",
+ " '\\n'\n",
+ " 'Instruction: If a die is rolled three times, what is the probability of '\n",
+ " 'getting a sum of 11? None\\n'\n",
+ " '\\n'\n",
+ " 'Reasoning: 1. Understand the problem: We need to find the probability of '\n",
+ " 'getting a sum of 11 when rolling a die three times.\\n'\n",
+ " '2. Calculate total possible outcomes: A die has 6 faces, so for each roll, '\n",
+ " 'there are 6 possibilities. For three rolls, the total possible outcomes are '\n",
+ " '6^3 = 216.\\n'\n",
+ " '3. Identify favorable outcomes: List all combinations of rolls that result '\n",
+ " 'in a sum of 11. There are 18 such combinations.\\n'\n",
+ " '4. Calculate probability: Divide the number of favorable outcomes by the '\n",
+ " 'total possible outcomes: 18 / 216 = 1/12.\\n'\n",
+ " '5. Conclusion: The probability of getting a sum of 11 when rolling a die '\n",
+ " 'three times is 1/12.\\n'\n",
+ " '\\n'\n",
+ " \"Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need \"\n",
+ " 'to find the probability of getting a sum of 11 when rolling a die three '\n",
+ " \"times.'}, {'step': 2, 'thought': 'Calculate total possible outcomes: A die \"\n",
+ " 'has 6 faces, so for each roll, there are 6 possibilities. For three rolls, '\n",
+ " \"the total possible outcomes are 6^3 = 216.'}, {'step': 3, 'thought': \"\n",
+ " \"'Identify favorable outcomes: List all combinations of rolls that result in \"\n",
+ " \"a sum of 11. There are 18 such combinations.'}, {'step': 4, 'thought': \"\n",
+ " \"'Calculate probability: Divide the number of favorable outcomes by the total \"\n",
+ " \"possible outcomes: 18 / 216 = 1/12.'}, {'step': 5, 'thought': 'Conclusion: \"\n",
+ " 'The probability of getting a sum of 11 when rolling a die three times is '\n",
+ " \"1/12.'}]\\n\"\n",
+ " '----\\n'\n",
+ " 'Example 2:\\n'\n",
+ " '\\n'\n",
+ " 'Instruction: The interactions will be about the science behind culinary '\n",
+ " 'techniques. The setting is a cooking class where three friends are '\n",
+ " 'discussing various aspects of cooking and sharing their knowledge.\\n'\n",
+ " '- USER/Jane: A curious learner who wants to understand the science behind '\n",
+ " 'cooking\\n'\n",
+ " '- Mike: An experienced home cook with a passion for experimenting in the '\n",
+ " 'kitchen\\n'\n",
+ " '- Sarah: A food scientist who loves explaining the chemistry behind '\n",
+ " 'different cooking processes\\n'\n",
+ " '\\n'\n",
+ " ' None\\n'\n",
+ " '\\n'\n",
+ " 'Reasoning: 1. Start with the given setting: a cooking class with three '\n",
+ " 'friends discussing the science behind culinary techniques.\\n'\n",
+ " '2. Introduce the topic of resting meat after cooking, with Mike asking Jane '\n",
+ " \"if she's ever wondered about it.\\n\"\n",
+ " '3. Have Sarah explain the science behind resting meat, mentioning denatured '\n",
+ " 'proteins and juice redistribution.\\n'\n",
+ " \"4. Address the user's question about resting meat, with Sarah confirming \"\n",
+ " 'that it allows juices to redistribute.\\n'\n",
+ " '5. Move on to the topic of adding salt to water, with Mike mentioning its '\n",
+ " 'effect on boiling point.\\n'\n",
+ " \"6. Have Sarah explain the science behind salt's effect on boiling point, \"\n",
+ " 'mentioning the higher temperature required for boiling.\\n'\n",
+ " \"7. Address the user's question about cooking speed, with Sarah explaining \"\n",
+ " \"that it's slightly faster due to the hotter water.\\n\"\n",
+ " '8. Introduce the topic of acids in cooking, with Mike mentioning their use '\n",
+ " 'in brightening dishes.\\n'\n",
+ " \"9. Have Sarah explain the science behind acids' effects on flavor and \"\n",
+ " 'tenderizing meats.\\n'\n",
+ " \"10. Address the user's question about baking, with Mike mentioning the \"\n",
+ " 'science involved in baking and Sarah explaining the role of gluten and '\n",
+ " 'leavening agents.\\n'\n",
+ " '11. Conclude the conversation with the characters expressing their '\n",
+ " 'fascination with the science behind cooking and their excitement to continue '\n",
+ " 'learning and experimenting.\\n'\n",
+ " '\\n'\n",
+ " \"Reasoning Chains: [{'step': 1, 'thought': 'Start with the given setting: a \"\n",
+ " 'cooking class with three friends discussing the science behind culinary '\n",
+ " 'techniques.\\'}, {\\'step\\': 2, \\'thought\\': \"Introduce the topic of resting '\n",
+ " \"meat after cooking, with Mike asking Jane if she's ever wondered about \"\n",
+ " 'it.\"}, {\\'step\\': 3, \\'thought\\': \\'Have Sarah explain the science behind '\n",
+ " \"resting meat, mentioning denatured proteins and juice redistribution.'}, \"\n",
+ " '{\\'step\\': 4, \\'thought\\': \"Address the user\\'s question about resting meat, '\n",
+ " 'with Sarah confirming that it allows juices to redistribute.\"}, {\\'step\\': '\n",
+ " \"5, 'thought': 'Move on to the topic of adding salt to water, with Mike \"\n",
+ " 'mentioning its effect on boiling point.\\'}, {\\'step\\': 6, \\'thought\\': \"Have '\n",
+ " \"Sarah explain the science behind salt's effect on boiling point, mentioning \"\n",
+ " 'the higher temperature required for boiling.\"}, {\\'step\\': 7, \\'thought\\': '\n",
+ " '\"Address the user\\'s question about cooking speed, with Sarah explaining '\n",
+ " 'that it\\'s slightly faster due to the hotter water.\"}, {\\'step\\': 8, '\n",
+ " \"'thought': 'Introduce the topic of acids in cooking, with Mike mentioning \"\n",
+ " 'their use in brightening dishes.\\'}, {\\'step\\': 9, \\'thought\\': \"Have Sarah '\n",
+ " \"explain the science behind acids' effects on flavor and tenderizing \"\n",
+ " 'meats.\"}, {\\'step\\': 10, \\'thought\\': \"Address the user\\'s question about '\n",
+ " 'baking, with Mike mentioning the science involved in baking and Sarah '\n",
+ " 'explaining the role of gluten and leavening agents.\"}, {\\'step\\': 11, '\n",
+ " \"'thought': 'Conclude the conversation with the characters expressing their \"\n",
+ " 'fascination with the science behind cooking and their excitement to continue '\n",
+ " \"learning and experimenting.'}]\\n\")\n"
+ ]
+ }
+ ],
+ "source": [
+ "# DatasetDict({\n",
+ "# train: Dataset({\n",
+ "# features: ['instruction', 'reasoning', 'output', 'reasoning_chains'],\n",
+ "# num_rows: 29857\n",
+ "# })\n",
+ "# })\n",
+ "\n",
+ "# Let's take a look at the first five examples in the training set\n",
+ "# Skip Output: {example['output']}\n",
+ "reasoning_chain_examples = \"\"\n",
+ "for i, example in enumerate(ds[\"train\"].select(range(2))):\n",
+ " reasoning_chain_examples += f\"\"\"----\n",
+ "Example {i + 1}:\n",
+ "\n",
+ "Instruction: {example['instruction']}\n",
+ "\n",
+ "Reasoning: {example['reasoning']}\n",
+ "\n",
+ "Reasoning Chains: {example['reasoning_chains']}\n",
+ "\"\"\"\n",
+ "\n",
+ "pprint(reasoning_chain_examples)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "1dHvSSSkjcdt",
+ "outputId": "d877a566-289a-4c5f-eec2-6c9eaad8ae34"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Human: Given Instruction, please generate {what}. Please use the following exampels.\n",
+ " If reasoning and/or reasoning chains are provided, please use them as context to generate the {what}.\n",
+ " Please only generate the {what} and do not include others.\n",
+ " \n",
+ " See the examples below:\n",
+ " ----\n",
+ "Example 1:\n",
+ "\n",
+ "Instruction: If a die is rolled three times, what is the probability of getting a sum of 11? None\n",
+ "\n",
+ "Reasoning: 1. Understand the problem: We need to find the probability of getting a sum of 11 when rolling a die three times.\n",
+ "2. Calculate total possible outcomes: A die has 6 faces, so for each roll, there are 6 possibilities. For three rolls, the total possible outcomes are 6^3 = 216.\n",
+ "3. Identify favorable outcomes: List all combinations of rolls that result in a sum of 11. There are 18 such combinations.\n",
+ "4. Calculate probability: Divide the number of favorable outcomes by the total possible outcomes: 18 / 216 = 1/12.\n",
+ "5. Conclusion: The probability of getting a sum of 11 when rolling a die three times is 1/12.\n",
+ "\n",
+ "Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need to find the probability of getting a sum of 11 when rolling a die three times.'}, {'step': 2, 'thought': 'Calculate total possible outcomes: A die has 6 faces, so for each roll, there are 6 possibilities. For three rolls, the total possible outcomes are 6^3 = 216.'}, {'step': 3, 'thought': 'Identify favorable outcomes: List all combinations of rolls that result in a sum of 11. There are 18 such combinations.'}, {'step': 4, 'thought': 'Calculate probability: Divide the number of favorable outcomes by the total possible outcomes: 18 / 216 = 1/12.'}, {'step': 5, 'thought': 'Conclusion: The probability of getting a sum of 11 when rolling a die three times is 1/12.'}]\n",
+ "----\n",
+ "Example 2:\n",
+ "\n",
+ "Instruction: The interactions will be about the science behind culinary techniques. The setting is a cooking class where three friends are discussing various aspects of cooking and sharing their knowledge.\n",
+ "- USER/Jane: A curious learner who wants to understand the science behind cooking\n",
+ "- Mike: An experienced home cook with a passion for experimenting in the kitchen\n",
+ "- Sarah: A food scientist who loves explaining the chemistry behind different cooking processes\n",
+ "\n",
+ " None\n",
+ "\n",
+ "Reasoning: 1. Start with the given setting: a cooking class with three friends discussing the science behind culinary techniques.\n",
+ "2. Introduce the topic of resting meat after cooking, with Mike asking Jane if she's ever wondered about it.\n",
+ "3. Have Sarah explain the science behind resting meat, mentioning denatured proteins and juice redistribution.\n",
+ "4. Address the user's question about resting meat, with Sarah confirming that it allows juices to redistribute.\n",
+ "5. Move on to the topic of adding salt to water, with Mike mentioning its effect on boiling point.\n",
+ "6. Have Sarah explain the science behind salt's effect on boiling point, mentioning the higher temperature required for boiling.\n",
+ "7. Address the user's question about cooking speed, with Sarah explaining that it's slightly faster due to the hotter water.\n",
+ "8. Introduce the topic of acids in cooking, with Mike mentioning their use in brightening dishes.\n",
+ "9. Have Sarah explain the science behind acids' effects on flavor and tenderizing meats.\n",
+ "10. Address the user's question about baking, with Mike mentioning the science involved in baking and Sarah explaining the role of gluten and leavening agents.\n",
+ "11. Conclude the conversation with the characters expressing their fascination with the science behind cooking and their excitement to continue learning and experimenting.\n",
+ "\n",
+ "Reasoning Chains: [{'step': 1, 'thought': 'Start with the given setting: a cooking class with three friends discussing the science behind culinary techniques.'}, {'step': 2, 'thought': \"Introduce the topic of resting meat after cooking, with Mike asking Jane if she's ever wondered about it.\"}, {'step': 3, 'thought': 'Have Sarah explain the science behind resting meat, mentioning denatured proteins and juice redistribution.'}, {'step': 4, 'thought': \"Address the user's question about resting meat, with Sarah confirming that it allows juices to redistribute.\"}, {'step': 5, 'thought': 'Move on to the topic of adding salt to water, with Mike mentioning its effect on boiling point.'}, {'step': 6, 'thought': \"Have Sarah explain the science behind salt's effect on boiling point, mentioning the higher temperature required for boiling.\"}, {'step': 7, 'thought': \"Address the user's question about cooking speed, with Sarah explaining that it's slightly faster due to the hotter water.\"}, {'step': 8, 'thought': 'Introduce the topic of acids in cooking, with Mike mentioning their use in brightening dishes.'}, {'step': 9, 'thought': \"Have Sarah explain the science behind acids' effects on flavor and tenderizing meats.\"}, {'step': 10, 'thought': \"Address the user's question about baking, with Mike mentioning the science involved in baking and Sarah explaining the role of gluten and leavening agents.\"}, {'step': 11, 'thought': 'Conclude the conversation with the characters expressing their fascination with the science behind cooking and their excitement to continue learning and experimenting.'}]\n",
+ "\n",
+ " ---\n",
+ " \n",
+ " Instruction: {instruction}\n",
+ " --\n",
+ " {reasoning}\n",
+ " --\n",
+ " {reasoning_chains} \n",
+ " \n"
+ ]
+ }
+ ],
+ "source": [
+ "from langchain_core.prompts import PromptTemplate, ChatPromptTemplate\n",
+ "from langchain_core.output_parsers import StrOutputParser\n",
+ "from langchain_upstage import ChatUpstage\n",
+ "\n",
+ "reasoning_chain_teample = ChatPromptTemplate.from_messages(\n",
+ " [\n",
+ " (\n",
+ " \"human\",\n",
+ " \"\"\"Given Instruction, please generate {what}. Please use the following exampels.\n",
+ " If reasoning and/or reasoning chains are provided, please use them as context to generate the {what}.\n",
+ " Please only generate the {what} and do not include others.\n",
+ "\n",
+ " See the examples below:\n",
+ " {examples}\n",
+ " ---\n",
+ "\n",
+ " Instruction: {instruction}\n",
+ " --\n",
+ " {reasoning}\n",
+ " --\n",
+ " {reasoning_chains}\n",
+ " \"\"\",\n",
+ " )\n",
+ " ]\n",
+ ")\n",
+ "\n",
+ "\n",
+ "promt_example = reasoning_chain_teample.format(\n",
+ " what=\"{what}\",\n",
+ " instruction=\"{instruction}\",\n",
+ " reasoning=\"{reasoning}\",\n",
+ " reasoning_chains=\"{reasoning_chains}\",\n",
+ " examples=reasoning_chain_examples,\n",
+ ")\n",
+ "print(promt_example)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {
+ "id": "LkywI_n_jcdt"
+ },
+ "outputs": [],
+ "source": [
+ "llm = ChatUpstage(model=\"solar-pro\")\n",
+ "chain = reasoning_chain_teample | llm | StrOutputParser()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {
+ "id": "7M-gv72Ijcdu"
+ },
+ "outputs": [],
+ "source": [
+ "instruction = \"3.11 vs 3.9 which one is greater?\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "iKz80445jcdu",
+ "outputId": "cac14aa3-83d0-4d9f-f96c-dbbed23362d1"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "('Reasoning: 1. Understand the problem: We need to compare the values 3.11 and '\n",
+ " '3.9 to determine which one is greater.\\n'\n",
+ " '2. Analyze the numbers: Both numbers have the same whole number part (3), so '\n",
+ " 'we need to compare the decimal parts (0.11 and 0.9).\\n'\n",
+ " '3. Compare the decimal parts: 0.11 is smaller than 0.9 since 11 is less than '\n",
+ " '90 (when comparing the same number of decimal places).\\n'\n",
+ " '4. Conclude the comparison: Since 3.11 has a smaller decimal part than 3.9, '\n",
+ " '3.9 is greater than 3.11.\\n'\n",
+ " '\\n'\n",
+ " \"Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need \"\n",
+ " \"to compare the values 3.11 and 3.9 to determine which one is greater.'}, \"\n",
+ " \"{'step': 2, 'thought': 'Analyze the numbers: Both numbers have the same \"\n",
+ " 'whole number part (3), so we need to compare the decimal parts (0.11 and '\n",
+ " \"0.9).'}, {'step': 3, 'thought': 'Compare the decimal parts: 0.11 is smaller \"\n",
+ " 'than 0.9 since 11 is less than 90 (when comparing the same number of decimal '\n",
+ " \"places).'}, {'step': 4, 'thought': 'Conclude the comparison: Since 3.11 has \"\n",
+ " \"a smaller decimal part than 3.9, 3.9 is greater than 3.11.'}]\")\n"
+ ]
+ }
+ ],
+ "source": [
+ "reasoning = chain.invoke(\n",
+ " {\n",
+ " \"instruction\": instruction,\n",
+ " \"reasoning\": \"\",\n",
+ " \"reasoning_chains\": \"\",\n",
+ " \"what\": \"reasoning\",\n",
+ " \"examples\": reasoning_chain_examples,\n",
+ " }\n",
+ ")\n",
+ "\n",
+ "pprint(reasoning)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "FRCdBLivjcdu",
+ "outputId": "8022b484-09ba-49d1-d65f-72dba7443dd2"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "('Reasoning: 1. Understand the problem: We need to compare the values of 3.11 '\n",
+ " 'and 3.9 to determine which one is greater.\\n'\n",
+ " '2. Compare the whole number part: Both numbers have the same whole number '\n",
+ " 'part, which is 3.\\n'\n",
+ " '3. Compare the decimal part: Compare the decimal parts, 11 and 9, to '\n",
+ " 'determine which number is greater.\\n'\n",
+ " '4. Identify the greater decimal part: Since 11 is greater than 9, the number '\n",
+ " '3.11 has a greater decimal part.\\n'\n",
+ " '5. Draw a conclusion: Based on the comparison, 3.11 is greater than 3.9.\\n'\n",
+ " '\\n'\n",
+ " \"Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need \"\n",
+ " \"to compare the values of 3.11 and 3.9 to determine which one is greater.'}, \"\n",
+ " \"{'step': 2, 'thought': 'Compare the whole number part: Both numbers have the \"\n",
+ " \"same whole number part, which is 3.'}, {'step': 3, 'thought': 'Compare the \"\n",
+ " 'decimal part: Compare the decimal parts, 11 and 9, to determine which number '\n",
+ " \"is greater.'}, {'step': 4, 'thought': 'Identify the greater decimal part: \"\n",
+ " \"Since 11 is greater than 9, the number 3.11 has a greater decimal part.'}, \"\n",
+ " \"{'step': 5, 'thought': 'Draw a conclusion: Based on the comparison, 3.11 is \"\n",
+ " \"greater than 3.9.'}]\")\n"
+ ]
+ }
+ ],
+ "source": [
+ "reasoning = chain.invoke(\n",
+ " {\n",
+ " \"instruction\": instruction,\n",
+ " \"reasoning\": \"\",\n",
+ " \"reasoning_chains\": \"\",\n",
+ " \"what\": \"reasoning\",\n",
+ " \"examples\": reasoning_chain_examples,\n",
+ " }\n",
+ ")\n",
+ "\n",
+ "pprint(reasoning)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "c3F9HYRtjcdu",
+ "outputId": "7e08f125-db72-4d79-e841-e4671eceb0ba"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "('Reasoning: Reasoning: 1. Understand the problem: We need to compare the '\n",
+ " 'values of 3.11 and 3.9 to determine which one is greater.\\n'\n",
+ " '2. Compare the whole number part: Both numbers have the same whole number '\n",
+ " 'part, which is 3.\\n'\n",
+ " '3. Compare the decimal part: Compare the decimal parts, 11 and 9, to '\n",
+ " 'determine which number is greater.\\n'\n",
+ " '4. Identify the greater decimal part: Since 11 is greater than 9, the number '\n",
+ " '3.11 has a greater decimal part.\\n'\n",
+ " '5. Draw a conclusion: Based on the comparison, 3.11 is greater than 3.9.\\n'\n",
+ " '\\n'\n",
+ " \"Reasoning Chains: [{'step': 1, 'thought': 'Understand the problem: We need \"\n",
+ " \"to compare the values of 3.11 and 3.9 to determine which one is greater.'}, \"\n",
+ " \"{'step': 2, 'thought': 'Compare the whole number part: Both numbers have the \"\n",
+ " \"same whole number part, which is 3.'}, {'step': 3, 'thought': 'Compare the \"\n",
+ " 'decimal part: Compare the decimal parts, 11 and 9, to determine which number '\n",
+ " \"is greater.'}, {'step': 4, 'thought': 'Identify the greater decimal part: \"\n",
+ " \"Since 11 is greater than 9, the number 3.11 has a greater decimal part.'}, \"\n",
+ " \"{'step': 5, 'thought': 'Draw a conclusion: Based on the comparison, 3.11 is \"\n",
+ " \"greater than 3.9.'}]\")\n"
+ ]
+ }
+ ],
+ "source": [
+ "reasoning_chain = chain.invoke(\n",
+ " {\n",
+ " \"instruction\": instruction,\n",
+ " \"reasoning\": f\"Reasoning: {reasoning}\",\n",
+ " \"reasoning_chains\": \"\",\n",
+ " \"what\": \"reasoning chain\",\n",
+ " \"examples\": reasoning_chain_examples,\n",
+ " }\n",
+ ")\n",
+ "\n",
+ "pprint(reasoning_chain)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "vI4qFp-Zjcdu",
+ "outputId": "8ba9e301-fbfc-4409-9154-240b315ea969"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "'3.11'\n"
+ ]
+ }
+ ],
+ "source": [
+ "output = chain.invoke(\n",
+ " {\n",
+ " \"instruction\": instruction,\n",
+ " \"reasoning\": f\"Reasoning: {reasoning}\",\n",
+ " \"reasoning_chains\": f\"Reasoning Chains: {reasoning_chain}\",\n",
+ " \"examples\": reasoning_chain_examples,\n",
+ " \"what\": \"Final answer of the instruction\",\n",
+ " }\n",
+ ")\n",
+ "\n",
+ "pprint(output)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.6"
+ },
+ "colab": {
+ "provenance": []
}
- ],
- "source": [
- "output = chain.invoke(\n",
- " {\n",
- " \"instruction\": instruction,\n",
- " \"reasoning\": f\"Reasoning: {reasoning}\",\n",
- " \"reasoning_chains\": f\"Reasoning Chains: {reasoning_chain}\",\n",
- " \"examples\": reasoning_chain_examples,\n",
- " \"what\": \"Final answer of the instruction\",\n",
- " }\n",
- ")\n",
- "\n",
- "pprint(output)"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "language": "python",
- "name": "python3"
},
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.9.6"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file