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Retrieval-augmented generation (RAG) addresses a critical gap in AI systems by creating an evidence-based pathway that keeps responses current, respects privacy boundaries, and provides verifiable sources rather than relying on potentially outdated training data. RAG works by first retrieving relevant evidence from databases or documents, then constraining the AI's response to cite only that retrieved information,...

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AgentCraft — RTS for AI agents!

AgentCraft transforms AI agent management by applying real-time strategy (RTS) game mechanics to orchestrating artificial intelligence systems. Users can track, summon, and command AI agents through an intuitive gaming interface...

GenAI, the Snake Eating Its Own Tail

Generative AI tools like ChatGPT are creating an unsustainable "snake eating its own tail" scenario by extracting massive value from human-created content while giving creators nothing in return. This destructive cycle is killing...