✨✨Latest Advances on Multimodal Large Language Models
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Updated
Dec 21, 2024
✨✨Latest Advances on Multimodal Large Language Models
The official GitHub page for the survey paper "A Survey of Large Language Models".
An open-source framework for training large multimodal models.
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Painter & SegGPT Series: Vision Foundation Models from BAAI
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
Must-read Papers on LLM Agents.
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
Emu Series: Generative Multimodal Models from BAAI
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.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
This repository contains a collection of papers and resources on Reasoning in Large Language Models.
OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.
Research Trends in LLM-guided Multimodal Learning.
Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
Paper List for Recommend-system PreTrained Models
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