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what are your thoughts about DSPy ??
it can optimize LM prompts and weights that overall quality of interactions within Reor that optimizations would ensure that the LLMs and embedding models with ability to adapt prompts and weights based on changing pipelines, LMs, or data aligns well with Reor's dynamic nature.
as Chaining language model (LM) calls as composable modules is fueling a new way of programming, but ensuring LMs adhere to important constraints requires heuristic "prompt engineering". We introduce LM Assertions, a programming construct for expressing computational constraints that LMs should satisfy. We integrate our constructs into the recent DSPy programming model for LMs, and present new strategies that allow DSPy to compile programs with LM Assertions into more reliable and accurate systems.
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what are your thoughts about DSPy ??
it can optimize LM prompts and weights that overall quality of interactions within Reor that optimizations would ensure that the LLMs and embedding models with ability to adapt prompts and weights based on changing pipelines, LMs, or data aligns well with Reor's dynamic nature.
as Chaining language model (LM) calls as composable modules is fueling a new way of programming, but ensuring LMs adhere to important constraints requires heuristic "prompt engineering". We introduce LM Assertions, a programming construct for expressing computational constraints that LMs should satisfy. We integrate our constructs into the recent DSPy programming model for LMs, and present new strategies that allow DSPy to compile programs with LM Assertions into more reliable and accurate systems.
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