Mistral Small 3.1 is a cutting-edge, open-source AI model released by Mistral AI, designed for efficiency and excelling in multimodal and multilingual tasks. It supports a 128k token context window and is optimized for real-time conversational AI and domain-specific fine-tuning.
This document details how to use function calling with Mistral AI models to connect to external tools and build more complex applications, outlining a four-step process: User query & tool specification, Model argument generation, User function execution, and Model final answer generation.
In today’s fast-paced world of software development, artificial intelligence plays a crucial role in simplifying workflows, speeding up coding tasks, and ensuring quality. Mistral AI has introduced Codestral 25.01, a coding model designed to tackle these challenges head-on. Lightweight and highly efficient, Codestral 25.01 is already ranked as the top coding model on LMSYS benchmarks, supporting over 80 programming languages and optimized for low-latency, high-frequency use cases. It offers features like fill-in-the-middle (FIM) code editing, code correction, and automated test generation, making it a reliable and efficient tool for a wide range of coding tasks.
Mistral AI, a European artificial intelligence startup, has made significant strides in AI through innovative developments and strategic expansions, including its entry into the U.S. market and the enhancement of its product offerings like Le Chat and Pixtral Large.
Mistral AI unveils Codestral, their first AI model for code generation. The model aids developers with coding tasks, supports multiple programming languages, and integrates with popular development environments.
