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Developing Apps with GPT-4 and ChatGPT, 2nd Edition
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Developing Apps with GPT-4 and ChatGPT, 2nd Edition

by Olivier Caelen, Marie-Alice Blete
July 2024
Intermediate to advanced
272 pages
7h 22m
English
O'Reilly Media, Inc.
Content preview from Developing Apps with GPT-4 and ChatGPT, 2nd Edition

Appendix A. Tools, Libraries, and Frameworks

This resource compiles a selection of valuable tools, libraries, and frameworks mentioned or utilized in this book. The list does not aim to be exhaustive, as new projects around LLMs are being created daily, and we do not endorse or guarantee the quality of every project mentioned. Nevertheless, exploring and assessing these tools, as well as their competitors, could greatly help you develop your applications.

AutoGen

Framework by Microsoft for building LLM applications based on multiagent conversations.

Keyword: agents

AutoGPT

Open source AI agent project. Given a goal, the agent will decompose it into actionable subtasks and utilize given resources to accomplish them.

Keyword: agents

DSPy

Framework for algorithmically optimizing LLM prompts.

Keywords: prompt generation, RAG, LLM-based application development

Guardrails

Framework to run input and output guards in your application that detect, quantify, and mitigate the presence of specific types of risks.

Keywords: guardrails, hallucinations, security

Hugging Face

An ML and data science collaborative platform. Users can find and contribute to models, datasets, and applications. Useful for finding alternative solutions to LLMs.

Keywords: ML, collaborative

LangChain

Framework to help in LLM-based application development. LangChain provides an abstraction layer to interact with LLMs better, with prompt templating, chaining, RAG tools, agent implementation, and more.

Keywords: ...

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Publisher Resources

ISBN: 9781098168094Errata Page