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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

    Mistral
  • Released On

    2023-06-14

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.

Integrations:
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?
    Technology

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