in-context-learning

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

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

An open-source framework for training large multimodal models.

From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Must-read Papers on LLM Agents.

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.

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

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.

[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.

Research Trends in LLM-guided Multimodal Learning.

A curated list of awesome instruction tuning datasets, models, papers and repositories.

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

An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"

Enjoy easier conversations with LLM