AgentTune is a project designed to teach small language models how to handle complex, multi-step tasks. Instead of just answering a single question, these models learn to plan, use tools, and adjust their approach to solve problems that require several steps. The project uses a technique called QLoRA to make this learning process fast and efficient, allowing smaller models to perform at a level similar to much larger ones.
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