2 articles
The Reagent framework was introduced to improve AI agent reasoning by providing detailed critiques of each step - delivering measurable performance gains across multiple reasoning benchmarks, including 43.7% on GAIA.
A breakthrough reinforcement learning technique called GTR-Turbo is transforming how vision-language models are trained. By creating self-contained teacher models from merged checkpoints, the method achieves double-digit accuracy gains while cutting training time in half and reducing compute expenses by 60%.
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