finetuning

Introducing Mistral’s Latest Innovations: Unveiling New Services and SDK for Enhanced Model Customization

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French AI startup Mistral is introducing new AI model customization options, including paid plans, to let developers and enterprises fine-tune its generative models for particular use cases. Mistral has released a software development kit (SDK), Mistral-Finetune, for fine-tuning its models on workstations, servers and small datacenter nodes. For developers and companies that prefer a more managed solution, there’s Mistral’s newly launched fine-tuning services available through the company’s API. Compatible with two of Mistral’s models for now, Mistral Small and the aforementioned Mistral 7B, Mistral says that the fine-tuning services will gain support for more of its models in the coming weeks. Lastly, Mistral is debuting custom training services, currently only available to select customers, to fine-tune any Mistral model for an organization’s apps using their data.

Expanding capabilities: OpenAI’s enhancement of personalized model training initiation

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OpenAI is expanding a program, Custom Model, to help enterprise customers develop tailored generative AI models using its technology for specific use cases, domains and applications. “Dozens” of customers have enrolled in Custom Model since. As for custom-trained models, they’re custom models built with OpenAI — using OpenAI’s base models and tools (e.g. Fine-tuned and custom models could also lessen the strain on OpenAI’s model serving infrastructure. Alongside the expanded Custom Model program and custom model building, OpenAI today unveiled new model fine-tuning features for developers working with GPT-3.5, including a new dashboard for comparing model quality and performance, support for integrations with third-party platforms (starting with the AI developer platform Weights & Biases) and enhancements to tooling.