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Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA, B…
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Official PyTorch implementation of the paper "In-Context Learning Unlocked for Diffusion Models"
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Code and documentation to train Stanford's Alpaca models, and generate the data.
Official repo for consistency models.
something like visual-chatgpt, 文心一言的开源版
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
An open-source framework for training large multimodal models.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Image to prompt with BLIP and CLIP
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Let ChatGPT truly learn how to go online and call APIs! 'EX-ChatGPT' can rival and even surpass NewBing
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)