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How to use data to optimize AI apps
Tutorial on cost attribution, evaluations, and fine-tuning
Today we’re sharing a video from one of our customers, Find AI. Last week alone, they made 19 million requests to OpenAI. They use Velvet to analyze, evaluate, and fine-tune their AI features.
What you’ll learn in this video:
Run cost attribution and batch analysis
Evaluate models using training sets
Fine-tune gpt-4o-mini with historical data
Watch this in-depth tutorial from the founder of Find AI.
2 lines of code to get started
Velvet is a proxy to warehouse LLM requests to your database. Use the AI gateway to analyze and optimize AI features. Just 2 lines of code to get started!
Free up to 10k requests / month
Use Velvet free up to 10k requests per month. Get started quickly with a hosted database, or connect your own PostgreSQL database.
Start warehousing every AI request | Read the docs →