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
HELMET: Raising the Bar for Long-Context Language Model Evaluation The rapid advancement of long-context language models (LCLMs) is transforming what AI can do, from digesting entire books to managing vast swaths of information in a single pass. Despite this progress... AI benchmarks evaluation long-context models model-based evaluation open-source models retrieval-augmented generation summarization