Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your ...

AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or ...

If I were starting my career all over today, the questions I'd face are fundamentally different: Is it even worth learning a language when AI can generate the code? Is a career in computer science ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

We explore how artificial intelligence is being integrated into network management tools, and the challenges it presents.

Developers are discovering that Model Context Protocol shines at providing AI coding agents with highly relevant software engineering context, on demand, at run time.

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

A weird 20-legged machine could change how scientists think about the ideal robot form. For decades, roboticists have been ...

Human Archive, a startup founded by Berkeley and Stanford researchers, is paying gig workers in India to wear camera-equipped ...

Cooking. Doing laundry. Tidying up. All your household tasks can be turned into data to train future humanoids—if you’re ...

Lens uses genomic language models to detect antibiotic resistance genes from DNA sequences, performing especially well on long-read data and on some ARGs poorly represented in reference databases.