forked from Archives/langchain
985496f4be
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>
12 lines
246 B
JSON
12 lines
246 B
JSON
{
|
|
"model_name": "text-davinci-003",
|
|
"temperature": 0.7,
|
|
"max_tokens": 256,
|
|
"top_p": 1.0,
|
|
"frequency_penalty": 0.0,
|
|
"presence_penalty": 0.0,
|
|
"n": 1,
|
|
"best_of": 1,
|
|
"request_timeout": null,
|
|
"_type": "openai"
|
|
} |