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Reward models holding back AI? DeepSeek's SPCT creates self-guiding critiques, promising more scalable intelligence for ...
Researchers from DeepSeek and Tsinghua University say combining two techniques improves the answers the large language model ...
When an AI model secretly relies on a hint or shortcut while constructing an elaborate but fictional explanation for its answer, it essentially fabricates a false reasoning narrative—a little like a ...
Anthropic released a new study on April 3 examining how AI models process information and the limitations of tracing their ...
It achieved an 8.0% higher win rate over DeepSeek R1, suggesting that its strengths generalize beyond just logic or math-heavy challenges.
In recent years, the AI field has been captivated by the success of large language models (LLMs). Initially designed for ...
DeepSeek AI, in collaboration with Tsinghua University, unveiled a new research study to improve reward modelling in large ...
High performing but cheaper to develop than blockbuster rivals such as OpenAI’s, DeepSeek’s development was a case study in ...
Chinese startup DeepSeek revolutionizes AI feedback systems with a new approach that helps AI better understand what humans ...
A Bloomberg Intelligence conference clarified the growing demand for greater AI capacity, but everyone wishes it were cheaper.