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experimental: docstrings update (#18048)
Added missed docstrings. Formatted docsctrings to the consistent format.
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@@ -1,4 +1,23 @@
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"""Generalized implementation of SmartGPT (origin: https://youtu.be/wVzuvf9D9BU)"""
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"""Chain for applying self-critique using the SmartGPT workflow.
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See details at https://youtu.be/wVzuvf9D9BU
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The workflow performs these 3 steps:
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1. **Ideate**: Pass the user prompt to an ideation LLM n_ideas times,
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each result is an "idea"
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2. **Critique**: Pass the ideas to a critique LLM which looks for flaws in the ideas
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& picks the best one
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3. **Resolve**: Pass the critique to a resolver LLM which improves upon the best idea
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& outputs only the (improved version of) the best output
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In total, the SmartGPT workflow will use n_ideas+2 LLM calls
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Note that SmartLLMChain will only improve results (compared to a basic LLMChain),
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when the underlying models have the capability for reflection, which smaller models
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often don't.
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Finally, a SmartLLMChain assumes that each underlying LLM outputs exactly 1 result.
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"""
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from langchain_experimental.smart_llm.base import SmartLLMChain
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@@ -18,8 +18,9 @@ from langchain_experimental.pydantic_v1 import Extra, root_validator
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class SmartLLMChain(Chain):
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"""
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Generalized implementation of SmartGPT (origin: https://youtu.be/wVzuvf9D9BU)
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"""Chain for applying self-critique using the SmartGPT workflow.
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See details at https://youtu.be/wVzuvf9D9BU
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A SmartLLMChain is an LLMChain that instead of simply passing the prompt to the LLM
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performs these 3 steps:
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