tutorials · 1 min read
Tutorial: Fine-Tune a Model Through Bhogar AI
Walkthrough of fine-tuning an OpenAI or open-source model on your data through the Bhogar AI fine-tuning pipeline.
BABhogar AI TeamProduct & Engineering
Fine-tuning sounds intimidating; the actual workflow is short and well-trodden. This tutorial fine-tunes a model on your data.
Why it matters
You will prepare a small training set (200-500 examples), kick off a fine-tune through the platform, evaluate, and route a fraction of traffic to the new model.
How Bhogar AI approaches it
Prepare JSONL training set, register fine-tune job, monitor progress, run eval against base model, deploy with traffic-split routing.
- Prepare JSONL training data (200-500 examples)
- Register fine-tune job
- Evaluate vs base model
- Deploy with traffic-split
- Monitor and iterate
What you get
A working fine-tuned model with measured uplift and safe rollout - in days not months.