AutoDidact

AutoDidact

Key Features:

• Self-Bootstrapping with Llama-8B: Generates meaningful question-answer pairs and trains itself for effective searches.
• Autonomous Self-Verification: The Llama-8B model evaluates its answers, fostering a self-improving loop.
• GRPO Reinforcement Learning: Uses Group Relative Policy Optimization to enhance research and reasoning capabilities.
• Fully Autonomous Pipeline: All processes, including question generation and reinforcement learning, run locally with open-source models.

Benefits:

• Significant improvement in answering capabilities demonstrated, e.g., from 23% to 59% accuracy in a validation set.
• Learn to issue well-formed queries and effectively refine searches through training.

Highlights:

• Built on Unsloth's Efficient GRPO code with enhancements for function calling and agentic loops.
• Ideal for deploying models in research scenarios, especially with historical data or customized datasets.