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LLM research

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Shuge Unlimited
Shuge Unlimited
Mar 10, 2026 · Artificial Intelligence

AutoResearch: 630‑Line AI Agent That Self‑Evolves in 72 Hours and Earns 12.7k Stars

AutoResearch is a 630‑line Python project that lets an AI agent autonomously run machine‑learning experiments on a single GPU using a fixed five‑minute budget, a single val_bpb metric, automatic code edits, and git‑based decisions, showcasing a minimal yet complete training framework with the novel MuonAdamW optimizer.

AI agentAutoResearchLLM research
0 likes · 17 min read
AutoResearch: 630‑Line AI Agent That Self‑Evolves in 72 Hours and Earns 12.7k Stars
Data Thinking Notes
Data Thinking Notes
Jun 24, 2025 · Artificial Intelligence

Anthropic’s Multi‑Agent Research System: Architecture, Lessons & 90% Performance Boost

Anthropic’s detailed post explains how its new Research feature uses a multi‑agent architecture with a lead coordinator and parallel sub‑agents, covering design principles, prompt engineering tricks, evaluation methods, production reliability challenges, and the substantial performance gains achieved over single‑agent baselines.

AI architectureLLM researchMulti-Agent Systems
0 likes · 21 min read
Anthropic’s Multi‑Agent Research System: Architecture, Lessons & 90% Performance Boost
Alimama Tech
Alimama Tech
Dec 25, 2024 · Artificial Intelligence

WiS Platform: Evaluating LLM Multi-Agent Systems via Game-Based Analysis

The WiS Platform provides a game‑based environment for benchmarking large language models in multi‑agent settings, measuring reasoning, deception and collaboration through dynamic scenarios, offering fair experimental design, real‑time competition, visualizations, detailed metrics, and open‑source tools, with GPT‑4o outperforming other models such as Qwen2.5‑72B‑Instruct.

AI evaluationGame-Based TestingLLM research
0 likes · 8 min read
WiS Platform: Evaluating LLM Multi-Agent Systems via Game-Based Analysis