Understanding and Reducing Hallucinations in AI Language Models AI language models have made remarkable progress, but they still sometimes produce answers that sound plausible yet are factually incorrect. These so-called hallucinations remain a significant challen... AI evaluation hallucination language models machine learning model training OpenAI
Unlocking Agentic Potential: Best Practices for Building AI Tools from Anthropic Innovative AI agents are transforming workflows, but their effectiveness relies heavily on the quality of tools crafted for them. As systems powered by large language models like Claude and Codex beco... AI agents automation Claude evaluation Model Context Protocol prompt engineering token efficiency tool design
Scaling Research with Multi-Agent AI: Lessons from Anthropic's System Anthropic’s experience with multi-agent research systems reveals both the transformative power and engineering challenges of orchestrating teams of Claude agents. Their approach offers valuable lesson... AI research Claude evaluation multi-agent systems production engineering prompt engineering system architecture tool design