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Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
⚡Research papers about leveraging the capabilities of language models⚡
Making large AI models cheaper, faster and more accessible
🦜🔗 The platform for reliable agents.
Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
A playbook for systematically maximizing the performance of deep learning models.
Examples and guides for using the OpenAI API
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Your API ⇒ Paid MCP. Instantly.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
🧠 Leon is your open-source personal assistant.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Pytorch Lightning code guideline for conferences
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
Language Models Can See: Plugging Visual Controls in Text Generation
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image