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Mistral’s Latest AI Enhancements

Mistral AI is a French company selling artificial intelligence products. It was founded in April 2023 by previous Meta Platforms and Google DeepMind employees.

LLMs can be fine-tuned to improve their performance in certain applications by making them more responsive, flexible, and efficient. Reducing deployment costs and enhancing application speed o**** a technique to match the performance of larger models while adapting a smaller model to fit specific domains or use cases.

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Customizing Mistral AI models in three modes-

  1. Open-source fine-tuning SDK for Mistral models
  2. Serverless fine-tuning services on la Plateforme
  3. Custom training services
  • Mistral 7B: A 7B dense Transformer, fast-deployed and easily customizable. Small, yet powerful for a variety of use cases. Supports English and code, and a 8k context window.
  • Mixtral 8X7B: A 7B sparse Mixture-of-Experts model with stronger capabilities than Mistral 7B. Uses 12B active parameters out of 45B total. Supports multiple languages, code, and 32k context window.

What is the plateforme Mistral?

La Plateforme is Mistral AI’s developer platform. This platform leases “optimized” versions of the company’s models to developers through generative endpoints, accessible via an API. Its goal is to o**** efficient deployment and tailored customization for various use cases.

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Generative Models

To help developers and businesses fine-tune their generative models for specific use cases, the French AI firm Mistral has introduced additional AI model customization options, including paid subscriptions. A self-service option is the first. To help in fine-tuning its models on workstations, servers, and small data center nodes, Mistral has developed an SDK called Mistral-Finetune. Although the SDK is best used with several GPUs, it can be downsized to a single Nvidia A100 or H100 GPU for smaller models that require fine-tuning, such as the Mistral 7B, as mentioned in the readme file of the SDK’s GitHub repository. UltraChat is a dataset including 1.4 million dialogs with OpenAI’s ChatGPT. According to Mistral, fine-tuning this dataset using Mistral-Finetune over eight H100s takes approximately thirty minutes.

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Mistral has recently introduced fine-tuning services accessible through its API for developers and businesses who would rather have a managed solution. Currently, the fine-tuning services are compatible with two of Mistral’s models—Mistral Small and the aforementioned Mistral 7B—but Mistral promises that compatibility for even more of its models will be added in the next weeks.

Reimagining AI by is taking a risk by reimagining artificial intelligence. First and foremost in their strategy are open-source models that have been painstakingly developed to tackle and surpass the market’s present deficiencies. Using state-of-the-art training approaches and high-quality data, aims to surpass ChatGPT 3.5 and other well-established standards. Their relentless quest for excellence continues as they develop tiny, incredibly efficient models and place a premium on data control, an essential component in improving the security and reliability of their AI products.

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