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This is a guest post co-written with Michael Feil at Gradient. Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment. The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to improve the performance of the model. […]
Originally appeared here:
Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia
