Learn, Explore, and Master Artificial Intelligence
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As AI systems evolve into autonomous agents and long-running assistants, memory becomes critical. Memvid proposes a radically different approach: instead of building memory as a service, it treats memory as a portable, compressed, file-based artifact. Think of it as SQLite for AI memory—optimized for semantic search. No server, no database, just a file that makes your AI remember...
Read moreFunctionGemma is a specialized version of our Gemma 3 270M model tuned for function calling. It is designed as a strong base for further training into custom, fast, private, local agents that translate natural language into executable API actions.
As Large Language Models become increasingly powerful, controlling their behavior has emerged as a central challenge. Traditional approaches such as prompt engineering and fine-tuning operate at the surface level, offering indirect and often fragile influence over model outputs. This article introduces steering Large Language Models with activation vectors as a deeper and more precise alternative. By identifying and manipulating directions in a model's internal activation space that correspond to high-level behaviors, this technique enables real-time, fine-grained control over model behavior at inference time, without retraining...
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