✨✨Latest Advances on Multimodal Large Language Models
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Updated
Aug 22, 2024
✨✨Latest Advances on Multimodal Large Language Models
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.
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
[ACL 2023] Reasoning with Language Model Prompting: A Survey
BabyAGI: an Autonomous and Self-Improving agent, or BASI
[ECCV 2024 Oral] 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.
[ACL 2024] 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
[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
All available datasets for Instruction Tuning of Large Language Models
🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!
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