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An article on real live use cases for fine-tuned large language models
What are the inference rates from the H-100?
Fine tuning is made to look easy, we will show you how challenging it really is?
What are the most important new training techniques?
What happens after deployment? How can your model grow and adapt?
Why are smaller models gaining ground?
Inference is becoming more efficient - is GPU power going to be important?
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