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Introduction
Mistral AI’s Mistral Large 2 (24.07) foundation model (FM) is now generally available in Amazon Bedrock. This advanced large language model (LLM) offers significant improvements across multilingual capabilities, math, reasoning, coding, and more. In this post, we’ll explore the benefits and capabilities of this new model with some examples.
Overview of Mistral Large 2
Mistral Large 2 is an advanced LLM with state-of-the-art reasoning, knowledge, and coding capabilities. It is multi-lingual by design, supporting dozens of languages, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, Polish, Arabic, and Hindi. The model is trained to minimize the tendency to hallucinate, or generate plausible-sounding but factually incorrect or irrelevant information. This was achieved by fine-tuning the model to be more cautious and discerning in its responses, making sure it provides reliable and accurate outputs.
The new Mistral Large 2 is also trained to acknowledge when it can’t find solutions or doesn’t have sufficient information to provide a confident answer. Additionally, the model is proficient in coding, trained on over 80 programming languages such as Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran. With its best-in-class agentic capabilities, it can natively call functions and output JSON, enabling seamless interaction with external systems, APIs, and tools.
Mistral Large 2 also offers an increased context window of 128,000 tokens, compared to Mistral Large (24.02), which had a 32,000-token context window. This larger context window is important for developers because it allows the model to process and understand longer pieces of text, such as entire documents or code files, without losing context or coherence.
Get started with Mistral Large 2 on Amazon Bedrock
If you’re new to using Mistral AI models, you can request model access on the Amazon Bedrock console. For more details, see Manage access to Amazon Bedrock foundation models.
To test Mistral Large 2 on the Amazon Bedrock console, choose Text or Chat under Playgrounds in the navigation pane. Then choose Select model and choose Mistral as the category and Mistral Large 24.07 as the model.
Increased context window
Mistral Large 2 supports a context window of 128,000 tokens, compared to Mistral Large (24.02), which had a 32,000-token context window. This larger context window is important for developers because it allows the model to process and understand longer pieces of text, such as entire documents or code files, without losing context or coherence.
Generating JSON and tool use
Mistral Large 2 now offers a native JSON output mode. This feature allows developers to receive the model’s responses in a structured, easy-to-read format that can be readily integrated into various applications and systems. With JSON being a widely adopted data exchange standard, this capability simplifies the process of working with the model’s outputs, making it more accessible and practical for developers across different domains and use cases.
Coding tasks
Mistral Large 2 has been trained on over 80 coding languages, including popular ones like Python, Java, C, C++, JavaScript, and Bash, as well as more specialized languages such as Swift and Fortran. This comprehensive language support empowers developers to tackle a wide range of coding tasks and projects across various domains and platforms. Whether you’re working on web development, mobile applications, scientific computing, or system programming, Mistral Large 2 can assist you with code generation, debugging, refactoring, and other coding-related tasks.
Conclusion
Mistral AI’s Mistral Large 2 FM is now available on Amazon Bedrock in the US West (Oregon) Region. To get started with Mistral Large 2 in Amazon Bedrock, visit the Amazon Bedrock console.
Frequently Asked Questions
Q: What is Mistral Large 2?
Mistral Large 2 is an advanced large language model (LLM) with state-of-the-art reasoning, knowledge, and coding capabilities. It is multi-lingual by design, supporting dozens of languages, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, Polish, Arabic, and Hindi.
Q: What are the benefits of Mistral Large 2?
Mistral Large 2 offers significant improvements across multilingual capabilities, math, reasoning, coding, and more. It is trained to minimize the tendency to hallucinate, or generate plausible-sounding but factually incorrect or irrelevant information. Additionally, the model is proficient in coding, trained on over 80 programming languages, and offers a native JSON output mode.
Q: How do I get started with Mistral Large 2 on Amazon Bedrock?
You can request model access on the Amazon Bedrock console. For more details, see Manage access to Amazon Bedrock foundation models. To test Mistral Large 2 on the Amazon Bedrock console, choose Text or Chat under Playgrounds in the navigation pane, then choose Select model and choose Mistral as the category and Mistral Large 24.07 as the model.
Q: What are the limitations of Mistral Large 2?
Mistral Large 2 is a powerful AI model, but it is not perfect. It may not always provide accurate or reliable responses, especially in situations where it lacks sufficient information or context. Additionally, the model may not be able to handle complex or nuanced tasks, such as natural language processing or machine learning.
Q: Can I use Mistral Large 2 for coding tasks?
Yes, Mistral Large 2 has been trained on over 80 coding languages, including popular ones like Python, Java, C, C++, JavaScript, and Bash, as well as more specialized languages such as Swift and Fortran. This comprehensive language support empowers developers to tackle a wide range of coding tasks and projects across various domains and platforms.
Q: Is Mistral Large 2 available on Amazon Bedrock?
Yes, Mistral Large 2 is now available on Amazon Bedrock in the US West (Oregon) Region. To get started with Mistral Large 2 in Amazon Bedrock, visit the Amazon Bedrock console.
Q: What is the future of Mistral Large 2?
Mistral Large 2 is a powerful AI model that is constantly being improved and updated. The future of Mistral Large 2 will depend on the needs and requirements of developers and users. As the model continues to evolve, it will likely become even more powerful and capable, enabling developers to create even more complex and sophisticated applications and systems.
