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A robot powered by V-JEPA 2 can be deployed in a new environment and successfully manipulate objects it has never encountered before.Read More

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Anthropic's open-source circuit tracing tool can help developers debug, optimize, and control AI for reliable and trustable applications.Read More

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By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either methodRead More

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Mem0's architecture is designed to LLM memory and enhance consistency for more reliable agent performance in long conversations.Read More

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d1 framework changes boosts diffusion LLMs with novel reinforcement learning, unlocking efficient, problem-solving AI possibilities.Read More

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Not all AI scaling strategies are equal. Longer reasoning chains are not sign of higher intelligence. More compute isn't always the answer.Read More

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DeepCoder-14B competes with frontier models like o3 and o1—and the weights, code, and optimization platform are open source.Read More

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Reward models holding back AI? DeepSeek's SPCT creates self-guiding critiques, promising more scalable intelligence for enterprise LLMs.Read More

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This open source framework matches the performance of Perplexity and ChatGPT Search with greater transparency and control.Read More

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CoTools uses hidden states and in-context learning to enable LLMs to use more than 1,000 tools very efficiently.Read More