learning-from-rewards-llm-papers

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

Empowering everyone to build reliable and efficient software.

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

The Web framework for perfectionists with deadlines.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。