Resources on useful LLM document for inclusion in scientific workflows.
|Title||Type of Resource||Description of Resource||Link to Resource||Open Science||Use of LLM||Research Discipline(s)|
|OpenAI Cookbook||Documentation, Tutorial w/ Code||The OpenAI Cookbook shares example code for accomplishing common tasks with the OpenAI API. To run these examples, you'll need an OpenAI account and associated API key (create a free account). Most code examples are written in Python, though the concepts can be applied in any language.||Cookbook||Open Source, Open Code|
|OpenAI API Documentation||Documentation||The OpenAI API can be applied to virtually any task that involves understanding or generating natural language, code, or images. We offer a spectrum of models with different levels of power suitable for different tasks, as well as the ability to fine-tune your own custom models. These models can be used for everything from content generation to semantic search and classification.||OpenAI API||Open Source|
|LangChain Library Documentation||Documentation||LangChain is a framework for developing applications powered by language models. We believe that the most powerful and differentiated applications will not only call out to a language model via an API, but will also: Be data-aware: connect a language model to other sources of data Be agentic: allow a language model to interact with its environment The LangChain framework is designed with the above principles in mind.||LangChain||Open Source|