Mistral AI, a leading AI safety startup based in France, has recently released its new flagship model – Mistral Large. This marks a major milestone for the company as Mistral Large achieves top-tier reasoning capabilities and strong benchmark results. In fact, it is currently ranked as the world’s second-best model, just behind OpenAI GPT-4.
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Mistral Large – Mistral AI’s Flagship Model
Mistral Large is Mistral AI’s most advanced text generation model to date. With enhanced reasoning skills, Mistral Large can handle complex multi-lingual tasks and outperforms most models, including Claude 2 and OpenAI GPT-3.5.
Key Capabilities of Mistral Large
Let’s take a closer look at some of the key features and strengths of Mistral Large:
1. Multilingual Capabilities
Mistral Large is natively fluent in English, French, Spanish, German, and Italian. Its nuanced understanding of grammar and cultural context allows for precise language generation in multiple languages.
2. Enhanced Context Window
With a context window of 32K tokens, Mistral Large enables precise information recall from large documents. This extended context window ensures that the model can capture and utilize relevant information effectively, enhancing its overall performance and accuracy.
3. Instruction-Following and Moderation Policies
Mistral Large’s precise instruction-following capabilities empower developers to design their own moderation policies. This functionality has been instrumental in setting up system-level moderation for le Chat, Mistral AI’s beta assistant demonstrator.
4. Function Calling and Constrained Output Mode
Mistral Large is natively capable of function calling, allowing for more advanced and interactive application development. When combined with the constrained output mode implemented on la Plateforme, Mistral Large enables tech stack modernization at scale.
Performance Evaluation for Mistral Large
Mistral AI benchmarked Mistral Large against other prominent AI models like GPT-4, Claude, and LLaMA on various tasks and demonstrated its competitive abilities. Particularly, Mistral Large achieves strong results on commonly used benchmarks after GPT-4, making it the world’s second-ranked AI model.
Benchmark Results
1. Reasoning and Knowledge
Mistral Large displays strong reasoning skills, achieving top results after GPT-4 on MMLU, HellaSwag, Wino Grande, Arc Challenge, and TriviaQA established benchmarks for common sense, logic and factual questioning.
2. Multilinguality
Mistral Large handily outperformed LLaMA 2 70B and its predecessor Mixtral 8x7B, Arc Challenge, HellaSwag and MMLU in French, German, Spanish and Italian – a testament to its cultural understanding.
3. Mathematics and Coding Abilities
Mistral Large led the competition on standardized evaluation sets for coding tasks like HumanEval (after GPT-4) and MBPP. It also scored highest on Mathematics benchmarks like GSM8K (8-shot) and Math maj@4.
Mistral AI Also Introduced Mistral Small
Along with Mistral Large, Mistral AI also upgraded its model portfolio with Mistral Small – an optimized model for low-latency applications. When evaluated, Mistral Small also outperformed its predecessor Mixtral 7x8B. This small model provides a refined intermediary solution between the open-weight offering and Mistral’s large flagship model. Function calling and JSON format are available on both mistral-large and mistral-small, allowing developers to integrate models into their workflows seamlessly and extract structured information.
How to Get Started With Mistral Large and Mistral Small
Mistral Small and Mistral Large can be accessed to use through different platforms.
1. La Plateforme
It is Mistral AI’s own model hosting platform, providing a safe and secure way to build apps using all their models, including Mistral Small and Large.
2. Azure Cloud
In a strategic partnership with Microsoft, Mistral AI launched Mixtral-8x7B and Mistral-7B in the Azure AI model catalog last December. Now, users can also access Mistral Large through Azure AI Studio and Azure Machine Learning, with a seamless user experience. This allows developers to leverage the model within their existing Azure workflows.
3. Le Chat
Mistral Large is also available on Mistral AI’s own beta assistant demonstrator, le Chat.
Conclusion
The release of Mistral Large is an major milestone. By pairing the strengths of Mistral Large with widespread availability and a commitment to responsible innovation, Mistral AI aims to accelerate the development of beneficial AI applications. Developers and companies stand to gain transformative capabilities by leveraging what is now the world’s second-most powerful AI assistant.
| Also Read:
- Mistral 7B: The Best Tiny Model That Beats Llama 2 Models
- Mistral AI’s Mixtral 8x7B: A Powerhouse Open SMoE Model
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