The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve…
Lees meerThe Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve…
Lees meerIn this tutorial, we introduce TinyDev class implementation, a minimal yet powerful AI code generation tool that utilizes the Gemini…
Lees meerA lone AI filmmaker, a cutting-edge generative video model, and a national TV spot during one of the year’s biggest…
Lees meerRise of Autonomous Coding Agents in System Software Debugging The use of AI in software development has gained traction with…
Lees meerPost-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference feedback to specify desired behaviors.…
Lees meerLLMs are increasingly seen as key to achieving Artificial General Intelligence (AGI), but they face major limitations in how they…
Lees meerTransformer models have significantly influenced how AI systems approach tasks in natural language understanding, translation, and reasoning. These large-scale models,…
Lees meerKey Takeaways: Researchers from Google DeepMind, the University of Michigan & Brown university have developed “Motion Prompting,” a new method…
Lees meerThe Growing Complexity of Reasoning Data Curation Recent reasoning models, such as DeepSeek-R1 and o3, have shown outstanding performance in…
Lees meerWe partnered with Darren Aronofsky, Eliza McNitt and a team of more than 200 people to make a film using…
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