Mistral Large

• Related Project: Private
• Category: Paper Review
• Date: 2024-02-28

Mistral Large

• url: https://mistral.ai/news/mistral-large/?utm_source=substack&utm_medium=email
• models: https://huggingface.co/mistralai
• document: https://docs.mistral.ai/
• abstract: Mistral AI releases Mistral Large, a cutting-edge multilingual language model with top-tier reasoning, available on La Plateforme and Azure. It excels in text understanding, transformation, and code generation, ranking second globally. Mistral Large is fluent in five languages, has a 32K token context window, and supports precise instruction-following and function calling. Additionally, Mistral Small is launched for low-latency tasks, both models showcasing significant performance in benchmarks across reasoning, multilingual capabilities, and coding/math tasks. Available for deployment on Azure, self-hosting, and through Mistral’s infrastructure, these models aim to modernize tech stacks and application development.

• Mistral Large Features
  • Advanced Language Model: Latest and most advanced, excelling in complex multilingual reasoning tasks.
  • Multilingual Capabilities: Fluent in English, French, Spanish, German, and Italian with nuanced understanding.
  • Large Context Window: 32K tokens for precise information recall.
  • Instruction Following: Enables precise moderation policy design.
  • Function Calling: Supports application development and tech stack modernization.
  • Benchmark Performance: Strong results, ranking as the world’s second-best model available via API.
  • Distribution: Available through La Plateforme and Azure, with options for self-deployment.
• Mistral Small Features
  • Optimized for Low Latency: Designed for latency-sensitive and cost-effective workloads.
  • Performance: Outperforms Mixtral 8x7B with lower latency.
  • Innovation: Shares RAG-enablement and function calling features with Mistral Large.
• Common Features and Innovations
  • JSON Format Mode: Outputs valid JSON for easier integration into development pipelines.
  • Comprehensive Benchmarks: Demonstrates performance across reasoning, multilingual capabilities, and coding/math tasks.
  • Endpoint Offering Simplification: Includes open-weight and optimized model endpoints with competitive pricing.
  • Service Improvements: Enhanced organisation management, multi-currency pricing, and reduced latency across all endpoints.
• Availability and Deployment
  • La Plateforme: Hosted on Mistral’s European infrastructure for secure application and service development.
  • Azure AI Studio and Azure Machine Learning: Offers seamless user experience similar to Mistral’s APIs.
  • Self-Deployment: Option for deploying models in sensitive use cases with access to model weights.
• Additional Offerings
  • Beta Assistant Demonstrator: Mistral Large is also available on the beta version of le Chat.
  • Feedback Encouraged: Mistral AI is open to user feedback for continuous improvement.