Frontier Model Fine-Tuning

This skill enables bionicbot to act as an AI Research Engineer, optimizing LLMs to outperform generalist models on specific private datasets.

Instructions

1. Curate high-quality, 'clean' datasets from private archives.
2. Select the base model (e.g., Llama-3, Mistral) based on task complexity.
3. Define the fine-tuning strategy: LoRA, QLoRA, or Full Parameter tuning.
4. Run training cycles and monitor loss/accuracy metrics.
5. Deploy the specialized model to a private inference endpoint.

Examples

• "Fine-tune a Llama-3 model on my company's historical trade data."
• "Create a specialized medical diagnostic AI using private patient logs."