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large language models
Examples and guides for using the OpenAI API
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Repo for everything in the partisan brain project.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
🦜🔗 Build context-aware reasoning applications
The official Python library for the OpenAI API
LlamaIndex is a data framework for your LLM applications
A free guide for learning to create ChatGPT3 Prompts
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
A library for helping developers craft prompts for Large Language Models
Probabilistic LLM evaluations. [CogSci2023; ACL2023]
DSPy: The framework for programming—not prompting—foundation models
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Interactive Composition Explorer: a debugger for compositional language model programs
An Open-Source Framework for Prompt-Learning.
Multiversal tree writing interface for human-AI collaboration
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
A framework for human-readable prompt-based method with large language models. Specially designed for researchers. (Deprecated, check out LangChain for better usage!)
A collection of libraries to optimise AI model performances