Google has unveiled three additions to its Gemma 2 family of compact yet powerful open-source AI models, emphasizing safety and transparency. The company’s Gemma 2 2B is a 2.6 billion parameter update to the lightweight 2B parameter Gemma 2, with built-in improvements in safety and performance. Built on Gemma 2, ShieldGemma is a suite of safety content classifier models that “filter the input and outputs of AI models and keep the user safe.” Interoperability model tool Gemma Scope offers what Google calls “unparalleled insight into our models’ inner workings.” Continue reading Latest Gemma 2 Models Emphasize Security and Performance

French startup Mistral AI has released its first large language model for coding. Codestral gives developers looking for a code-native AI tool an option to Meta’s Code Llama, Microsoft’s GitHub Copilot and Amazon Q. Fluent in 80 programming languages — including Python, C++ and JavaScript — Codestral can complete code, write tests, and augment partial code “using a fill-in-the-middle mechanism,” while reducing “the risk of errors and bugs,” according to the company. The new LLM is described as open, but its license prohibits commercial use of both Codestral and its outputs. Continue reading Mistral Development Tool Knows 80 Programming Languages

Paris-based startup Mistral AI has made an immediate splash in the world of artificial intelligence, securing partnerships with IBM, Microsoft and others nine months after its launch. The company is offering natural language processing models, including its flagship Mistral Large, which becomes only the second LLM (after OpenAI) to land a commercial berth on Microsoft’s Azure cloud, where Meta Platforms’ Llama 2 is available in preview. Boasting “top-tier reasoning capacities” and sophisticated conversational capabilities, Mistral Large specializes in “reasoning, analysis and generation (RAG), is multilingual and supports up to 32,000 tokens.” Continue reading France’s Mistral AI Makes Its Global Debut on Microsoft Azure