Turn expensive prompts into cheap fine-tuned models
AI applications rely on expensive prompt-based LLM calls that are slow and costly at scale.
An SDK that captures prompt-completion pairs from existing providers and uses them to fine-tune cheaper, faster custom models.
Developers and companies building LLM-powered products who want to reduce inference cost and latency.
Repeat founder and former engineer at Google and YC. Led the Startup School team and built products that increased YC applications by over 40%.
I'm a co-founder at OpenPipe, a platform for turning your slow and expensive prompts into cheap fine-tuned models. My cofounder and I wrote the first web agent that ran on GPT-4 (Taxy.AI) and I've been fine-tuning models since 2021.