What is Mistral Large
Mistral Large is an advanced large language model (LLM) developed by the French artificial intelligence company Mistral AI. It possesses top-tier reasoning capabilities and can handle complex multilingual reasoning tasks, including text understanding, transformation, and code generation. The model has demonstrated strong performance in common benchmarks (such as MMLU, HellaSwag), especially in multilingual processing, with excellent performance in benchmarks for languages such as French, German, Spanish, and Italian.
Official introduction to Mistral Large:https://mistral.ai/news/mistral-large/
Features and capabilities of Mistral Large
- Multilingual reasoning capability: Mistral Large supports multiple languages, including English, French, Spanish, German, and Italian, and can understand and process complex texts in these languages.
- Powerful context understanding: With a 32K token context window, the model can process and recall detailed information in large documents, which is crucial for understanding and generating coherent, relevant text.
- Precise instruction following: Mistral Large can precisely follow user instructions, which is very useful for developers designing and implementing specific application logic and moderation policies.
- Function calling: The Mistral Large model supports function calling, allowing developers to combine the model with their own toolsets, internal code, API, or database interfaces to achieve more complex interactions.
- Cooperation with Azure: Mistral AI has partnered with Microsoft so that Mistral Large can be provided through Azure AI Studio and Azure Machine Learning, offering users a seamless experience with the Mistral API.
Performance comparison of Mistral Large
In common benchmarks, Mistral Large has demonstrated strong performance, as follows:
- Reasoning and knowledge: Compared with other advanced language models, Mistral Large ranks second on the Massive Multitask Language Understanding (MMLU) benchmark, second only to GPT-4. The model has also demonstrated strong performance on other benchmarks such as HellaSwag, WinoGrande, Arc Challenge, TriviaQA, and TruthfulQA.
- Multilingual capability: Mistral Large has native multilingual capabilities and clearly outperforms LLaMA 2 70B on the HellaSwag, Arc Challenge, and MMLU benchmarks in French, German, Spanish, and Italian.
- Mathematics and code: Mistral Large also demonstrates top-tier performance in programming code and mathematical tasks, outperforming LLaMA 2 70B in both.
How to use Mistral Large
Ordinary users can use the chat dialogue assistant released by Mistral AILe Chatto experience Mistral Large online, while developers can access the Mistral Large model through the Mistral API and Azure AI Studio.