Retrieval-augmented generation (RAG) tackles AI hallucinations by integrating breakthroughs like AutoRAG and RAGFlow, delivering accurate and trustworthy AI systems for real-world applications.
Discover how the Model Context Protocol (MCP) is transforming AI by enabling real-time, context-aware interactions with external data sources. Learn about its architecture, use cases, and impact on generative AI development.
Are AI benchmarks misleading? Discover how companies game the system to inflate progress claims, why transparent benchmarks like ARC-AGI-2 matter, and what real AI advancement looks like.
As OpenAI loses top safety researchers and faces internal clashes, we examine whether AI giants can balance profit and ethical safeguards. Explore the exodus, Peter Thiel’s warnings, and what’s next for AI safety.
OpenBMB’s MiniCPM-O 2.6 is an 8B-parameter multimodal AI model that understands vision, speech, and text—all on edge devices. Discover how it could reshape decentralized AI.
New research reveals how LLMs really work, and why they’re nothing like human brains. Explore the latest findings on AI interpretability, safety, and what it means for the future of artificial intelligence.
