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Meta launches the biggest and best AI models it has ever built13m ago AMD puts 32,768 CPU cores in a rack built for AI agents31m ago Smug until weirdly silent: who told us to say “I am alive”?38m ago Anthropic's Claude AI submitted false murder tip to Philadelphia police38m ago How Anthropic’s Dynamic Workflows Coordinate Claude Agents41m ago Dell’s AI partner ecosystem adapts to Silicon Valley’s build-it-yourself buyers43m ago AWS Expands GPT-6 Access on Amazon Bedrock to Five Asia Pacific Regions47m ago Disney's new CTO tells staff he 'won't pretend it will be easy' to win in the changing media landscape50m ago OpenAI Adds New Irish Roles in Boost to Firm’s EU Headquarters52m ago Manifold Steering from a Natural State is Effective and Generalizable, but Relies on Model Accuracy53m ago Microsoft Research Introduces StudentSim for AI Tutor Training54m ago Why Big Tech Is Borrowing Billions to Fund AI Spending58m ago Meet the Anthropic Engineer Keeping Its AI Agent Trustworthy1h ago Meta Unveils New Series of Advanced A.I. Models2h ago

Machine Learning LLM & Text Generation6 min reading time

NVIDIA PivotOPD Teaches Multi-Turn AI Agents to Recover From Pivotal Mistakes

MarkTechPostPublished 4 days ago

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NVIDIA and academic partners developed PivotOPD, an on-policy distillation method that trains multi-turn LLM agents to avoid or recover from pivotal early mistakes, outperforming 13 baselines on benchmarks with Qwen3 models.

#agent-training #nvidia #princeton-university #qwen3-1-7b #qwen3-8b #reinforcement-learning #university-of-maryland

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