French ai startup Mistral is introducing new ai model customization options, including paid plans, to allow developers and companies to fine-tune their generative models for particular use cases.
The first is self-service. Mistral has released a software development kit (SDK), Mistral Tuneto fine-tune your models on workstations, servers, and small data center nodes.
In the SDK's GitHub repository readme, Mistral notes that the SDK is optimized for multi-GPU setups, but can be scaled down to a single Nvidia A100 or H100 GPU to fit smaller models like the Mistral 7B. Fine-tuning a data set like UltraChat, a collection of 1.4 million dialogues with OpenAI's ChatGPT, takes about half an hour using Mistral-Finetune on eight H100s, Mistral says.
For developers and businesses that prefer a more managed solution, Mistral's recently launched tuning services are available through the company's API. Supported by two of Mistral's models for now, the Mistral Small and the aforementioned Mistral 7B, Mistral says that tuning services will gain support for more of its models in the coming weeks.
Finally, Mistral is introducing custom training services, currently only available to select customers, to fine-tune any Mistral model for an organization's applications that use its data. “This approach allows the creation of highly specialized models optimized for your specific domain,” the company explains in a post on its official site. ai/news/customization/”>Blog.
Mistral, which my colleague Ingrid Lunden recently reported is looking to raise around $600 million at a $6 billion valuation from investors including DST, General Catalyst and Lightspeed Venture Partners, is certainly looking to grow revenue while facing considerable competition (and growing) in The Generative ai Space.
Since Mistral introduced its first generative model in September 2023, it has launched several more, including a code generator modeland implemented paid APIs. But it has not revealed how many users it has or what its income is.
