[D] How To Fine-Tune LLaMA, OpenLLaMA, And XGen, With JAX On A GPU Or A TPU

Hello,

Fine-tuning your own large language model is the best way to achieve state-of-the-art results, even better than ChatGPT or GPT-4, especially if you fine-tune a modern AI model like LLaMA, OpenLLaMA, or XGen.

Properly fine-tuning these models is not necessarily easy though, so I made an A to Z tutorial about fine-tuning these models with JAX on both GPUs and TPUs, using the EasyLM library.

Here it is: [https://nlpcloud.com/how-to-fine-tune-llama-openllama-xgen-with-jax-on-tpu-gpu.html](https://nlpcloud.com/how-to-fine-tune-llama-openllama-xgen-with-jax-on-tpu-gpu.html?utm_source=reddit&utm_campaign=i859w625-3816-11ed-a261-0242ac140017)

I hope it will be helpful! If you think that …

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