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What does it do?

  • Text Generation
  • Multilingual Reasoning
  • Code Generation
  • Complex Reasoning
  • Math and Coding

How is it used?

  • Access via web app or API for advanced text generation tasks.
  • 1. Access w/ APIs
  • 2. Integrate in apps
  • 3. Generate text & code
  • 4. Deploy on Azure
See more

Who is it good for?

  • AI Researchers
  • Data Scientists
  • Business Analysts
  • Software Developers
  • Technology Enthusiasts

What does it cost?

  • Pricing model : Book Demo / Request Quote

Details & Features

  • Made By

    Mistral
  • Released On

    2023-09-22

Mistral AI develops advanced large language models (LLMs) that provide powerful text generation, code completion, and complex reasoning capabilities. The company's flagship model, Mistral Large, offers multilingual proficiency and high-performance AI capabilities for various applications across industries.

Key features:
- Multilingual Proficiency: Native fluency in English, French, Spanish, German, and Italian with nuanced understanding of grammar and cultural context.
- Text Generation: Produces coherent and contextually appropriate text for content creation and customer support.
- Code Generation: Excels in generating and completing code for software development tasks.
- Complex Reasoning: Demonstrates top-tier reasoning capabilities, outperforming many other models in various benchmarks.
- Math and Coding Performance: Strong capabilities in mathematical problem-solving and coding tasks.
- 32K Tokens Context Window: Allows precise information recall from large documents, enhancing ability to handle extensive and complex inputs.
- Function Calling: Native support for integrating the model with custom tools and APIs.
- JSON Output: Produces outputs in JSON format, facilitating structured data extraction and integration into pipelines.

Deployment Options:
- La Plateforme: Hosted on Mistral's infrastructure in Europe for secure application development.
- Azure Integration: Available through Azure AI Studio and Azure Machine Learning.
- Self-Deployment: Models can be deployed on private environments for sensitive use cases, with access to model weights.

How it works:
1. Users access Mistral AI's models through APIs.
2. Models are available via Mistral's La Plateforme or Microsoft Azure.
3. Developers integrate these models into their applications for various tasks.
4. The models process inputs and generate outputs for text generation, code completion, or data extraction.

Integrations:
Microsoft Azure, internal tools and APIs

Use of AI:
Mistral AI leverages advanced generative AI techniques to develop its models. The foundation models are built on state-of-the-art architectures that enable high performance in text generation, reasoning, and multilingual tasks.

AI foundation model:
Mistral Large is designed to rival top-tier models like GPT-4 and Claude 2, offering competitive performance at a lower cost.

Target users:
- Developers integrating advanced AI capabilities into applications
- Businesses automating customer support, content creation, and data extraction
- Researchers exploring advanced AI capabilities and conducting experiments

How to access:
Mistral AI's models are available as APIs, which can be accessed through web platforms like La Plateforme and Azure. The company also offers self-deployment options for more sensitive use cases.

Open Source Status:
Mistral AI offers some models under an open-weight Apache 2 license, while others are available through commercial APIs.

  • Supported ecosystems
    Azure, Azure, Microsoft, Microsoft Azure, Microsoft
  • What does it do?
    Text Generation, Multilingual Reasoning, Code Generation, Complex Reasoning, Math and Coding
  • Who is it good for?
    AI Researchers, Data Scientists, Business Analysts, Software Developers, Technology Enthusiasts

PRICING

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Pricing model: Book Demo / Request Quote

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