Repository History

4 repositories tagged with AI Research

Topic: AI Research
Awesome Dynamic Agent Skills: A Curated List for LLM Agent Skill Systems

Awesome Dynamic Agent Skills: A Curated List for LLM Agent Skill Systems

Awesome Dynamic Agent Skills is a comprehensive curated reading list accompanying a TMLR 2026 survey on dynamic, self-evolving skill systems for LLM agents. It provides a unified taxonomy, an eight-stage lifecycle, and a ten-operator vocabulary for understanding how LLM agents acquire and manage skills. The repository audits 124 papers, offering valuable insights into this rapidly evolving field.

Analyzed Aug 22, 2026
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EasyInstruct: An Easy-to-Use Instruction Processing Framework for LLMs

EasyInstruct: An Easy-to-Use Instruction Processing Framework for LLMs

EasyInstruct is an open-source Python framework designed to simplify instruction processing for Large Language Models (LLMs). Accepted at ACL 2024, it offers modularized components for instruction generation, selection, and prompting, supporting various LLMs like GPT-4 and LLaMA. This framework is ideal for researchers and developers working on LLM-based experiments and applications.

Analyzed Jul 2, 2026
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Feynman: The Open Source AI Research Agent

Feynman: The Open Source AI Research Agent

Feynman is an open-source AI research agent designed to automate and streamline complex research tasks. Built with TypeScript, it leverages multiple agents and tools to conduct in-depth investigations, literature reviews, and even experiment replications, providing source-grounded outputs.

Analyzed Jun 2, 2026
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FlashAttention: Fast and Memory-Efficient Exact Attention

FlashAttention: Fast and Memory-Efficient Exact Attention

FlashAttention is a cutting-edge library from Dao-AILab, designed to provide fast and memory-efficient exact attention for deep learning models. It significantly accelerates transformer training and inference by optimizing memory usage and computational speed. This makes it an essential tool for researchers and developers working with large-scale AI models.

Analyzed Feb 18, 2026
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