What does it do?

  • Text Generation
  • Text Processing
  • Summarization
  • Classification
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How is it used?

  • Text to Insights/Analytics
  • Text to Code
  • Text to Document/Presentation
  • Language to Language
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Who is it good for?

  • Technology

Details & Features

  • Made By

  • Released On


Mistral AI provides advanced artificial intelligence solutions to transform business operations and products, focusing on delivering high-performance, cost-efficient models that can be customized and deployed across various environments while ensuring security and privacy.

Key features:
- Text Generation and Processing: Automate tasks such as summarizing reports, classifying customer reviews, translating emails, and generating marketing campaigns.
- Internal Assistants: Build retrieval-augmented generation (RAG) applications and function-calling capabilities to provide employees with easy access to internal knowledge.
- Coding Assistant: Enhance developer productivity with a custom-built coding co-pilot, accelerating application development and IT modernization.
- Multilingual Content Generation: Tailor content generation to specific customer bases, following a particular editorial line.
- High Performance: Mistral's flagship model, Mistral large, outperforms other models of similar size on independent benchmarks and is served at high speed.
- Portability: Models can be used on Mistral's public platform, through preferred cloud partners, or in private cloud/on-prem environments.
- Customization: Easily adapt Mistral AI models to specific business needs, reducing the cost and expertise required for customization.
- Privacy and Security: Data is not used for training on the public platform, and input data is not visible in self-deployment and cloud channels. Data is encrypted at rest (AES256) and in transit (TLS 1.2+).
- Fine-Grain Moderation: Models can detect and ban certain types of user input and output, as demonstrated by the Le Chat application.
- Editorial Control: Multilingual models are designed to be less biased and allow businesses to make editorial choices regarding model outputs.

How it works:
Users interact with Mistral AI primarily through its web platform, cloud partners, or private deployment options. Specific examples include text-to-text applications, internal knowledge assistants, and coding assistants.

Mistral AI supports integrations with various companies and platforms, including Lamini, OctoAI, MongoDB, CMA CGM, Orange, BNP Paribas, Pretto, CloudFlare, Brave, HuggingFace, Lindy, and Arcane.

Use of AI:
Mistral AI leverages advanced generative AI models to automate text processing, enhance developer productivity, create internal knowledge assistants, and generate multilingual content.

AI foundation model:
Mistral AI's models are built on state-of-the-art AI foundation models and large language models (LLMs), including its flagship Mistral large model.

How to access:
Mistral AI is available as a web app, through cloud partners, and for private deployment (private cloud or on-prem). It is not open source.

  • Supported ecosystems
    Unknown, Hugging Face, Microsoft, Amazon
  • What does it do?
    Text Generation, Text Processing, Summarization, Classification, Translation, Marketing Campaigns, Internal Assistants, Coding Assistant, Multilingual Content Generation, Customization
  • Who is it good for?


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