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

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

总结Prompt&LLM论文，开源数据&模型，AIGC应用

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

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.

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.

[ACL 2023] Reasoning with Language Model Prompting: A Survey

BabyAGI: an Autonomous and Self-Improving agent, or BASI

DriveLM: Driving with Graph Visual Question Answering

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.

An Easy-to-use Instruction Processing Framework for LLMs.

🔥 Building composable LLM applications & workflow with Java.

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

All available datasets for Instruction Tuning of Large Language Models

A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

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

Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!

Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.