azure-ai

Introducing Mistral Large: Azure AI's Latest LLM Innovation

Tal Peretz

Jul 13, 2024 — 1 min read

Microsoft Azure has partnered with Mistral AI to bring you Mistral Large, the latest large language model (LLM) designed to transform language-based tasks. This advanced model is now available through Azure, marking a significant step forward in AI innovation.

Key Features and Capabilities

State-of-the-Art Reasoning and Knowledge: Mistral Large excels in handling a full range of language-based tasks, offering advanced reasoning and knowledge capabilities.
Multi-Lingual Support: Best-in-class performance in English, French, German, Spanish, and Italian, with support for dozens of other languages.
Coding Capabilities: Proficient in code generation, review, and comments for mainstream coding languages.
Context Handling: Supports up to 32K tokens for extensive context and content generation.
Specialized in RAG: Ensures crucial information preservation during long context windows through Retrieval-Augmented Generation.

Availability and Usage

Azure AI Integration: Mistral Large is accessible via Models as a Service (MaaS) in Azure AI Studio and Azure Machine Learning model catalog. It offers API-based access and token-based billing.

Deployment: Developers can quickly provision an API endpoint and leverage tools like Azure AI prompt flow and LangChain.

Safety Measures: Includes built-in support for a “safe prompt” parameter and Azure AI content safety filters to screen for harmful content.

Partnership and Infrastructure

Microsoft Partnership: Provides Mistral AI with access to Azure’s cutting-edge AI infrastructure, ensuring top-tier performance and scalability for AI training and inference workloads.

Supercomputing Infrastructure: Azure AI supercomputing infrastructure supports Mistral AI.

Market Scale: Premium models, including Mistral Large, are available through the Azure AI model catalog, with purchase options via Microsoft Azure Consumption Commitment (MACC).

Use Cases and Feedback

Early adopters like Schneider Electric, Doctolib, and CMA CGM have praised Mistral Large for its performance and efficiency. The model is suitable for various applications, including internal efficiency, medical terminology, and enhancing productivity and collaboration.

Additional Information

Pricing: Costs vary based on token usage, with details available in the Azure Marketplace.

Future Developments: Fine-tuning for Mistral Large is planned for future updates.

This partnership and the availability of Mistral Large on Azure provide developers and enterprises with advanced AI capabilities and robust performance.

Unleashing Creativity with Stability.SD3-Large-V1:0 on Amazon Bedrock

The advent of Stability.SD3-Large-V1:0, a revolutionary text-to-image model, marks a significant milestone in the realm of generative AI. Integrated into Amazon Bedrock, this model is designed to transform how digital assets are created, offering unparalleled performance and quality in image generation. Model Architecture and Performance At the heart

Unlocking the Potential of Bedrock/Meta-Textgeneration-Llama-2-7B with AWS SageMaker

The Bedrock/Meta-Textgeneration-Llama-2-7B is a cutting-edge Large Language Model (LLM) developed by Meta as part of the Llama 2 series. This series ranges from 7 billion to 70 billion parameters, with the 7B model offering a balance of size and capability. Its development involved Supervised Fine-Tuning (SFT) and Reinforcement Learning

Exploring Azure AI's Phi-3-Medium-128K-Instruct: A Revolutionary LLM

Azure AI's Phi-3-Medium-128K-Instruct is a breakthrough in the field of language models, bringing forth a dense decoder-only Transformer model with 14 billion parameters. This model, part of Microsoft's Phi-3 family, stands out for its impressive performance across a wide range of benchmarks, making it a go-to

Unlocking the Potential of Azure AI's Phi-3.5-MoE-Instruct: A New Era in Artificial Intelligence

The Azure AI Phi-3.5-MoE-Instruct model, a groundbreaking addition to Microsoft's Phi-3.5 series, is revolutionizing the landscape of artificial intelligence with its innovative architecture and impressive capabilities. Model Architecture At the heart of the Phi-3.5-MoE-Instruct is the Mixture-of-Experts (MoE) model architecture, which includes 16 experts, each