Fast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX)
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By Travis Addair & Geoffrey Angus
If you’d like to learn more about how to efficiently and cost-effectively fine-tune and serve open-source LLMs with LoRAX, join our November 7th webinar.
Developers are realizing that smaller, specialized language models such as LLaMA-2-7b outperform larger general-purpose models like GPT-4 when fine-tuned with proprietary data to perform a single task. However, you likely don’t have a single generative AI task, you have many, and serving each fine-tuned model with its own dedicated GPU resources can quickly add up to $10k+ per month in cloud costs.
At Predibase, we’ve