Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here.
Amazon Web Services (AWS) continues to add more models to Amazon Bedrock, its managed service for generative AI offerings and application development. The company announced that Mistral Large is now publicly available for customers to build out their AI apps. This move follows a similar one made a month ago when AWS added Mistral 7B and Mixtral 8x7B to Bedrock.
“By bringing Mistral AI models to Amazon Bedrock, customers will have access to the most cutting-edge and advanced generative AI technologies as well as easy access to enterprise-grade tooling and features all in a secure and private environment,” Vasi Philomin, vice president of generative AI, AWS, said in a blog post.
Released in February, Mistral Large is Mistral AI’s cutting-edge text generation model for complex multilingual reasoning tasks, such as text understanding, transformation, and code generation. The model is one of the top-ranked models generally available through an API. It’s natively fluent in English, French, Spanish, German, and Italian, has a 32K tokens context window, features precise instruction-following, which enables developers to craft their moderation policies, and is natively capable of function calling.
“Our mission is to make frontier AI ubiquitous, and to achieve this mission, we want to collaborate with the world’s leading cloud provider to distribute our top-tier models,” Mistral AI chief executive Arthur Mensch remarked in a statement. “We have a long and deep relationship with AWS and through strengthening this relationship today, we will be able to provide tailor-made AI to builders around the world.”
VB Event
The AI Impact Tour – Atlanta
Continuing our tour, we’re headed to Atlanta for the AI Impact Tour stop on April 10th. This exclusive, invite-only event, in partnership with Microsoft, will feature disc …
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Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here.
Amazon Web Services (AWS) continues to add more models to Amazon Bedrock, its managed service for generative AI offerings and application development. The company announced that Mistral Large is now publicly available for customers to build out their AI apps. This move follows a similar one made a month ago when AWS added Mistral 7B and Mixtral 8x7B to Bedrock.
“By bringing Mistral AI models to Amazon Bedrock, customers will have access to the most cutting-edge and advanced generative AI technologies as well as easy access to enterprise-grade tooling and features all in a secure and private environment,” Vasi Philomin, vice president of generative AI, AWS, said in a blog post.
Released in February, Mistral Large is Mistral AI’s cutting-edge text generation model for complex multilingual reasoning tasks, such as text understanding, transformation, and code generation. The model is one of the top-ranked models generally available through an API. It’s natively fluent in English, French, Spanish, German, and Italian, has a 32K tokens context window, features precise instruction-following, which enables developers to craft their moderation policies, and is natively capable of function calling.
“Our mission is to make frontier AI ubiquitous, and to achieve this mission, we want to collaborate with the world’s leading cloud provider to distribute our top-tier models,” Mistral AI chief executive Arthur Mensch remarked in a statement. “We have a long and deep relationship with AWS and through strengthening this relationship today, we will be able to provide tailor-made AI to builders around the world.”
VB Event
The AI Impact Tour – Atlanta
Continuing our tour, we’re headed to Atlanta for the AI Impact Tour stop on April 10th. This exclusive, invite-only event, in partnership with Microsoft, will feature disc …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]