Agentic CPT is a new training framework that enables open-source models to match the performance of leading proprietary deep ...
Telling stories with and about data helps students better see themselves as learners and helps teachers center them in the ...
A new study shows that fine-tuning ChatGPT on even small amounts of bad data can make it unsafe, unreliable, and veer it wildly off-topic. Just 10% of wrong answers in training data begins to break ...
The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
Morning Overview on MSN
Autonomous AI Agents Build and Deploy Code Independently
In recent years, the development of autonomous AI agents capable of independently building and deploying code has gained ...
UK AI startup Wayve, in collaboration with Nissan, is testing its self-driving technology on Tokyo streets to advance its ...
Picture a space where innovators can try out new tools without fear of legal or regulatory penalty — somewhere they can test AI-powered tutoring systems, see ...
To advance the development of deep search agents, a research team from Tsinghua University and Northeast University has proposed DeepDive. This method combines automated data synthesis from knowledge ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Abstract: General change detection (CD) methods require extensive annotated data to ensure effective performance, yet the annotation of remote sensing (RS) bi-temporal images is significantly ...
2025 AI Training New Discovery: Reinforcement Learning is More Effective than Rote Memorization ...
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