langchain/docs/modules/llms/examples/llm.yaml

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Harrison/llm final stuff (#332) 2022-12-13 15:50:46 +00:00			`_type: openai`
			`best_of: 1`
			`frequency_penalty: 0.0`
			`max_tokens: 256`
			`model_name: text-davinci-003`
			`n: 1`
			`presence_penalty: 0.0`
Docs refactor (#480) Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com> 2023-01-02 16:24:09 +00:00			`request_timeout: null`
Harrison/llm final stuff (#332) 2022-12-13 15:50:46 +00:00			`temperature: 0.7`
			`top_p: 1.0`