M2N2 is a model merging technique that creates powerful multi-skilled agents without the high cost and data...
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By using two co-evolving AI models, the R-Zero framework generates its own learning curriculum, moving beyond the...
Memp takes inspiration from human cognition to give LLM agents “procedural memory” that can adapt to new...
Chain-of-Thought isn’t a plug-and-play solution. For developers, this research offers a blueprint for LLM testing and strategic...
New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives,...
CoAct-1 is an AI agent that combines GUI control with on-the-fly coding, making computer automation more robust...
New research reveals how OS agents — AI systems that control computers like humans — are rapidly...
A new study from Anthropic introduces “persona vectors,” a technique for developers to monitor, predict and control...
A diffusion model inspired by the human process of drafting, searching for information, and making iterative revisions.Read...
A common AI fine-tuning practice could be unintentionally poisoning your models with hidden biases and risks, a...