Fine-tuning

Efficient LLM fine-tuning and data ownership

Ensure fast, efficient fine-tuning, keep data proprietary, and enjoy seamless deployment of customized models that are entirely your property

Track and utilize interaction data

Capture and store all interactions with LLMs, including both requests and responses, to facilitate ongoing model refinement.

Use your proprietary datasets to fine-tune open-source LLMs, ensuring that all generated models remain your exclusive property.

Retain full ownership of the customized models—what you build on your infrastructure doesn't get shared without your permission

Integrated techniques: employ advanced fine-tuning methods such as quantization, low-rank adaptation, and memory-efficient distributed training
Efficiency at core: designed to maximize fine-tuning speed and model performance, even on basic GPUs
Speed and simplicity: initiate fine-tuning of any open-source LLM with just two clicks and experience the fastest way to fine-tune and deploy LLMs, making the process straightforward and user-friendly
Scalable deployment: leverage our managed endpoints that automatically scale to support millions of requests, ensuring reliable model access and performance

Open source flexibility: test and deploy any open-source LLM instantly on our platform.
Smaller and faster models: achieve more with less; fine-tune LLMs to be compact yet powerful enough to run efficiently in your own infrastructure.
Full control: own the models you fine-tune. Stop renting capabilities and start owning your technological future with models tailored for your specific needs.