AutoDidact
Visit ToolAutoDidact is an AI Agents & Automation tool that autonomously trains research-agent LLMs on custom data. It uses reinforcement learning and self-verification to enhance research and reasoning capabilities.
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AutoDidact is an AI Agents & Automation tool that autonomously trains research-agent LLMs on custom data. It uses reinforcement learning and self-verification to enhance research and reasoning capabilities.
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About
AutoDidact is an open-source project designed to autonomously train research-agent LLMs on custom data. It leverages reinforcement learning and self-verification to enable small LLMs, such as Llama-8B, to enhance their research and reasoning capabilities. The tool allows LLMs to generate, research, and answer self-created question-answer pairs, learning agentic search through Group Relative Policy Optimization (GRPO). It features an entirely autonomous pipeline, covering question generation, answer research, verification, embedding creation, and reinforcement learning, all running locally on open-source models. Demonstrated results show significant accuracy improvements in research and question answering after minimal training, making it a powerful tool for developers and researchers looking to build self-improving AI agents.
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Open Source
Free
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