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Tinker API Launches for Language Model Fine-Tuning from Thinking Machines Lab

By

Chris Messina

8mo ago· 1 min readenProduct

Summary

Tinker is a new flexible API for fine-tuning language models, developed by Thinking Machines lab founded by former OpenAI CTO Mira Murati. The platform allows developers to write training loops in Python on their laptops while running them on distributed GPUs. The company recently announced a $2B seed funding round at a $12B valuation. Tinker is currently in private beta with limited access, targeting researchers and developers who want full control over their data and algorithms without managing infrastructure.

Key quotes

· 4 pulled
Tinker is a flexible API for fine-tuning language models, and the first product from @miramurati's Thinking Machines lab
Write training loops in Python on your laptop; we'll run them on distributed GPUs
Private beta opened yesterday. Access is limited to start, but you can sign up for the waitlist here
Tinker is a flexible API for efficiently fine-tuning open source models with LoRA
Snippet from the RSS feed
Tinker is a flexible API for efficiently fine-tuning open source models with LoRA. It's designed for researchers and developers who want flexibility and full control of their data and algorithms without worrying about infrastructure management.

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