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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
Chatbots respond, copilots assist, and RAG systems retrieve. Business agents take actions, plan workflows, call external systems, and know when to stop and ask. Six architectural properties separate the category from everything else.
Most AI deployments give every employee their own copilot and stop there. Team-in-the-loop treats the entire team as the agent's operating context — shared memory, shapeless knowledge, and a single agent exposed through every interface.
Human oversight in AI systems fails when it lacks enforcement and visibility. From Tesla crashes to Klarna's rehiring spree, the deployments that survive place humans at irreversible steps with both properties.
From fabricated case law to billion-dollar reversals, a three-year history of AI adoption and why the tools that worked kept a professional in the loop.
Your team deserves better than scattered AI tools and copy-pasted slop. Jitera is a shared AI workspace where agents learn your organization and help everyone do real work.
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