The official GitHub page for the survey paper "A Survey of Large Language Models".

✨✨Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

An open-source framework for training large multimodal models.

Painter & SegGPT Series: Vision Foundation Models from BAAI

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Emu: An Open Multimodal Generalist

Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.

OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.

This repository contains a collection of papers and resources on Reasoning in Large Language Models.

Papers and Datasets on Instruction Learning / Instruction Tuning. ✨✨✨

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.

[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Paper List for Recommend-system PreTrained Models

Research Trends in LLM-guided Multimodal Learning.

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT