#Autoresearch workflow
5 related articles
Building RL-Powered Autonomous Researc…
·2 min
Building RL-Powered Autonomous Research Agents with NVIDIA NeMo
How NVIDIA NeMo combines reinforcement learning to train agent skills and build an Autoresearch workflow capable of autonomously running ML experiments end-to-end.
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Using Claude for Constrained Optimizat…
·2 min
Using Claude for Constrained Optimization Research: The Promise and Limits of AI-Automated Science
How Claude and LLMs assist constrained optimization research — from problem modeling to solver integration. An honest look at AI's real capabilities and limits in automated science.
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Autoresearch: How Self-Evolving AI Age…
·2 min
Autoresearch: How Self-Evolving AI Agents Are Reshaping the Software Factory
Autoresearch lets AI agents automatically explore and refine better solutions during task execution. This article breaks down agent recipes, self-improvement loops, and human-AI collaboration boundaries.
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Research·2 min
Agent Loops in Practice: Transforming Token Output into Productivity from CUDA Kernels to Automated Research
Deep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
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Tech Frontiers·1 min
Pi AutoResearch: AI Runs Experiments Automatically, No More Manual Trial-and-Error for Performance Optimization
Pi AutoResearch is a coding plugin based on Karpathy's Auto Research concept that auto-generates optimization plans, modifies code, runs tests, and logs results for fully automated performance tuning.
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