✨✨Latest Advances on Multimodal Large Language Models
#计算机科学#An open-source framework for training large multimodal models.
#大语言模型#Reasoning in LLMs: Papers and Resources, including Chain-of-Thought, OpenAI o1, and DeepSeek-R1 🍓
Painter & SegGPT Series: Vision Foundation Models from BAAI
#大语言模型#PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
Emu Series: Generative Multimodal Models from BAAI
#大语言模型#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#Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
#自然语言处理#This repository contains a collection of papers and resources on Reasoning in Large Language Models.
#自然语言处理#OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
#数据仓库#Papers and Datasets on Instruction Tuning and Following. ✨✨✨
#大语言模型#[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.
#大语言模型#Research Trends in LLM-guided Multimodal Learning.
Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
#Awesome#A curated list of awesome instruction tuning datasets, models, papers and repositories.