AI Fine-Tuning Consultation & Training Data Readiness Report

I will assess your fine-tuning goals and existing data, then deliver a written readiness report covering whether fine-tuning is the right approach for your use case, which base model is most appropriate, how much training data you need, what quality issues exist in your current dataset, and a step-by-step preparation plan to get your data fine-tuning ready. The most expensive fine-tuning mistake is starting the process before validating that your data and objectives actually warrant it — prompt engineering, RAG, or few-shot techniques often deliver better results faster and cheaper for many use cases.
The report covers use case suitability analysis, base model recommendation (GPT-3.5, GPT-4o mini, Llama 3,
Mistral, or domain-specific variant), dataset quality assessment against your sample data, estimated training data volume requirements, data formatting guidance (JSONL prompt-completion structure), and a cost estimate for the fine-tuning run on your preferred platform. You'll receive an honest, expert assessment — including a clear recommendation not to fine-tune if the evidence doesn't support it.

This service is the right starting point for any business or developer considering fine-tuning and wanting an expert view before committing budget to a training run that may or may not solve their problem.