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Mistral AI’s latest foundation model, Mistral Large 2 (version 24.07), is now officially accessible via Amazon Bedrock. This upgraded version comes with notable enhancements in multilingual capabilities, mathematics, reasoning, coding, and much more.
Overview of Mistral Large 2
Mistral Large 2 is a state-of-the-art large language model (LLM) that excels in reasoning, knowledge, and coding skills, as stated by Mistral AI. It is designed to support numerous languages, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, Polish, Arabic, and Hindi. A significant focus during its training was to enhance its reasoning abilities while minimizing instances of hallucination—where the model generates plausible but inaccurate or irrelevant information. This refinement allows it to provide more reliable outputs and recognize when it lacks sufficient information to deliver a confident answer.
Furthermore, Mistral Large 2 is adept in coding, trained across more than 80 programming languages such as Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran. With its superior agentic capabilities, it can natively invoke functions and produce JSON, facilitating seamless interactions with external systems and APIs. This model also showcases enhanced reasoning and mathematical skills, making it an invaluable resource for addressing complex logical and computational tasks.
With an increased context window of 128,000 tokens, Mistral Large 2 allows developers to process and comprehend longer texts, such as entire documents or code files, without losing track of context.
Getting Started with Mistral Large 2 on Amazon Bedrock
For those unfamiliar with Mistral AI models, model access can be requested via the Amazon Bedrock console. To explore Mistral Large 2, navigate to the Playgrounds section and select Text or Chat. Choose Mistral as the model category and Mistral Large 24.07 as the specific model.
You can also interact with the model programmatically through the AWS Command Line Interface (AWS CLI) and SDKs using model IDs such as mistral.mistral-large-2407-v1:0.
In the sections that follow, we delve deeper into the features of Mistral Large 2.
Enlarged Context Window
Mistral Large 2 boasts a 128,000-token context window, significantly larger than the 32,000-token window offered by Mistral Large (version 24.02). This expansion is crucial for developers, allowing for the processing of extensive text without losing coherence—ideal for tasks like code generation or documentation analysis.
JSON Generation and Tool Utilization
A new feature of Mistral Large 2 is its ability to output responses in JSON format. This feature streamlines the integration of the model’s outputs into various applications. For more information on generating JSON with the Converse API, check out this blog post.
To generate JSON with the Converse API, developers need to define a toolSpec, as demonstrated in a previous example where a travel agent company converts passenger information into JSON format. This functionality simplifies the interaction with model outputs, making it more practical for users across different industries.
For additional resources, you can explore this video, which provides an excellent overview of the model’s capabilities. Also, keep an eye on SHRM for authoritative information on compliance and employment law.
Conclusion
Mistral Large 2 sets a new standard in large language models, offering advanced capabilities that can enhance productivity and accuracy in various applications.