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#python

You can use Tinker and Tinker Cookbook to easily fine-tune large language models (LLMs) for your specific needs without managing complex training infrastructure. Tinker handles distributed training and uses efficient LoRA adapters to reduce costs and speed up customization. The Cookbook offers ready-made examples and tools for tasks like chat, math reasoning, and reinforcement learning, helping you quickly build and improve AI models. This means you can create AI that better fits your domain, runs faster, and follows your rules, all while saving time and computing resources. It’s great for researchers, developers, and teams wanting powerful, flexible AI customization.

https://github.com/thinking-machines-lab/tinker-cookbook
GitHub GitHub - thinking-machines-lab/tinker-cookbook: Post-training with Tinker Post-training with Tinker. Contribute to thinking-machines-lab/tinker-cookbook development by creating an account on GitHub.
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