Amazon Web Services (AWS) has recently introduced Mistral AI on its Bedrock platform, marking a significant advancement in generative artificial intelligence (AI). Mistral AI’s mission is to propel AI technology forward, and its latest models, Mixtral 8x7B and Mistral 7B, showcase this ambition with cutting-edge capabilities designed to elevate the generative AI community to new heights.
Now Available: @MistralAI foundation models. 😎
AI/ML Sr. Developer Advocate Mike shares why #Developers are excited to use Mistral 7B & Mixtral 8x7B on Amazon #Bedrock to build & scale #generativeAI apps. 👩💻👨💻 #AWS
🔗 https://t.co/mPyqgRPvSX pic.twitter.com/mbv58fZ4mX
— Amazon Web Services (@awscloud) March 2, 2024
Mistral AI’s models, including the Mistral 7B and Mixtral 8X7B, are engineered to serve a wide array of applications, ranging from text summarization and structuration to question answering and code completion.
The Mistral 7B model is a 7 billion parameter-dense Transformer that is not only fast-deployed but also easily customizable. Despite its relatively small size, it is powerful enough to handle a variety of use cases effectively.
On the other hand, the Mixtral 8X7B model, a 7 billion parameter sparse Mixture-of-Experts model, boasts stronger capabilities than its counterpart by utilizing 12 billion active parameters out of a total of 45 billion.
Amazon announced this through their official blog post, “Mistral AI models are available today in Amazon Bedrock, and we can’t wait to see what you’re going to build. Get yourself started by visiting Mistral AI on Amazon Bedrock.
This model supports multiple languages including English, French, German, Spanish, and Italian, and is capable of handling larger datasets with a maximum of 32,000 tokens.
One of the hallmark features of Mistral AI models on AWS Bedrock is their balance of cost and performance, making them accessible to a broad spectrum of users.
However, it is important to note:
Mistral AI’s Mixtral 8x7B and Mistral 7B models in Amazon Bedrock are available in the US West (Oregon) Region.
These models offer fast inference speeds and are designed with transparency and trust in mind, ensuring users can confidently leverage the technology. Furthermore, AWS has simplified the fine-tuning process, allowing users to easily adapt the models to their specific needs.
Mistral AI’s initiative is a testament to AWS’s commitment to supporting the generative AI community. By making these advanced models available on Bedrock, AWS provides developers and businesses with the tools necessary to innovate and push the boundaries of what is possible with AI.
Amazon also made this announcement through its official X ( Twitter) account:
When it comes to choice, #generativeAI on #AWS gives customers control. ☁️💻💥
The @MistralAI foundation models are now available on Amazon #Bedrock—making innovating, iterating, & moving between a range of models as easy as an API call. 👉 https://t.co/oT4ZBw34a4 pic.twitter.com/pSJV7JrMPG
— Amazon Web Services (@awscloud) March 1, 2024
The inclusion of Mistral AI on AWS Bedrock signifies a step forward in making state-of-the-art AI technology more accessible and usable for a wide range of applications, promising to accelerate innovation and discovery in the field.
For those interested in exploring the capabilities of Mistral AI models, AWS offers comprehensive resources and blogs to help users get started. These resources provide valuable insights into the models’ functionalities, applications, and best practices for integration.
However, people have some queries to ask:
Only 8k tokens and no json mode?
— Alen (@Shmengineer) March 2, 2024
As the AI landscape continues to evolve, AWS Bedrock’s Mistral AI models stand out as a beacon of progress, embodying the fusion of innovation, accessibility, and trust. With these tools, developers and businesses alike are well-equipped to explore new horizons in AI and harness its full potential to solve complex challenges and create groundbreaking solutions.
For more of such latest news, visit our AI news at allaboutai.com.
