A curated archive of frontier intelligence, operator-grade guides, and strategic analysis.
New AgentFloor benchmark from arXiv reveals small open-weight models are sufficient for routine agentic tool use, reserving frontier models for complex planning.
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Large Language Models can implement agent-based models from specifications, but reliability varies. GPT-4.1 consistently produces valid and efficient implementations.
LLMs, predominantly trained on Western data, struggle to detect culture-specific health misinformation, especially concerning practices like cow urine consumption in...
A new framework for utility-aware data pricing for LLMs uses token-level quality and empirical training gain to value data, moving...
AeSlides is a reinforcement learning framework that enhances the aesthetic layout of LLM-generated slides using verifiable metrics and rewards, improving...
crewAI 1.14.3 introduces new features like lifecycle events for checkpoint operations, e2b support, and Bedrock V4 integration. It also fixes...
crewAI 1.14.3 introduces new features like Bedrock V4 support and Daytona sandbox tools, alongside bug fixes for checkpoint operations and...
