Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. Don’t miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here.
Today, Paris-based Mistral, the AI startup that raised Europe’s largest-ever seed round a year ago and has since become a rising star in the global AI domain, marked its entry into the programming and development space with the launch of Codestral, its first-ever code-centric large language model (LLM).
Available today under a non-commercial license, Codestral is a 22B parameter, open-weight generative AI model that specializes in coding tasks, right from generation to completion.
According to Mistral, the model specializes in more than 80 programming languages, making it an ideal tool for software developers looking to design advanced AI applications.
The company claims Codestral already outperforms previous models designed for coding tasks, including CodeLlama 70B and Deepseek Coder 33B, and is being utilized by several industry partners, including JetBrains, SourceGraph and LlamaIndex.
June 5th: The AI Audit in NYC
Join us next week in NYC to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. Secure your attendance for this exclusive invite-only event.
A performant model for all things coding
At the core, Codestral 22B comes with a context length of 32K and provides developers with the ability to write and interact with code in various coding environments and projects.
The model has been trained on a dataset of more than 80 programming languages, which makes it suitable for a diverse range of coding tasks, including generating code from scratch, completing coding functions, writing tests and completing any partial code using a fill-in-the-middle mechanism. The programming languages it covers include popular ones such as SQL, Python, Java, C and C++ as well as more specific ones like Swift and Fortran.
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Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. Don’t miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here.
Today, Paris-based Mistral, the AI startup that raised Europe’s largest-ever seed round a year ago and has since become a rising star in the global AI domain, marked its entry into the programming and development space with the launch of Codestral, its first-ever code-centric large language model (LLM).
Available today under a non-commercial license, Codestral is a 22B parameter, open-weight generative AI model that specializes in coding tasks, right from generation to completion.
According to Mistral, the model specializes in more than 80 programming languages, making it an ideal tool for software developers looking to design advanced AI applications.
The company claims Codestral already outperforms previous models designed for coding tasks, including CodeLlama 70B and Deepseek Coder 33B, and is being utilized by several industry partners, including JetBrains, SourceGraph and LlamaIndex.
June 5th: The AI Audit in NYC
Join us next week in NYC to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. Secure your attendance for this exclusive invite-only event.
A performant model for all things coding
At the core, Codestral 22B comes with a context length of 32K and provides developers with the ability to write and interact with code in various coding environments and projects.
The model has been trained on a dataset of more than 80 programming languages, which makes it suitable for a diverse range of coding tasks, including generating code from scratch, completing coding functions, writing tests and completing any partial code using a fill-in-the-middle mechanism. The programming languages it covers include popular ones such as SQL, Python, Java, C and C++ as well as more specific ones like Swift and Fortran.
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