Mistral AI is a France-based AI company with a mission to elevate publicly available models to state-of-the-art performance levels. They focus on building fast and secure large language models (LLMs) that can be used for everything from chatbots to generation.
We are excited to announce that two high-performance Mistral AI models, Mistral 7B and Mistral 8X7B, will soon be available on Amazon Bedrock. Amazon Web Services brings Mistral AI to Amazon Bedrock as our 7th foundational model provider, alongside leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. With these two Mistral AI models, you'll have the flexibility to choose the best-of-breed, high-performance LLM for your use case to build and scale generative AI applications on Amazon Bedrock.
Amazon Bedrock is a fully managed service that provides high-performance foundational models from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, Mistral AI, and Amazon through a single API, as well as a broad set of capabilities needed to build generative AI applications with security, privacy, and responsible AI.
Overview of the Mistral AI model
The two Mistral AI models, Mistral 7B and Mistral 8x7B, summarize and answer questions, and help organize information with a deep understanding of text structure and architecture. Here's a brief overview of these two highly anticipated Mistral AI models:
mistral 7bIt is the first basic model launched by Mistral AI to support English text generation tasks and has natural coding capabilities. It is optimized for low latency, and the model has low memory requirements relative to its scale, providing high throughput. The model is small but powerful enough to support a wide range of use cases, from text summarization and classification to text refinement and completion. mixtral 8x7bIt is a popular premium sparse expert hybrid (MOE) model that is more powerful than Mixtral 7b, supports English, French, German, Spanish, and Italian text generation tasks and natural encoding, making it ideal for use cases such as text summarization, question answering, text classification, text refinement, and completion. Choosing the right foundation model is the key to building a successful application. With Mistral AI models, customers have more flexibility to test and determine which underlying model best meets their generative AI needs. Next, let's take a look at the benefits of the Mistral AI modelYesWhy Mistral AI might be right for your use case:
Cost and performance balanceOne of the standout highlights of the Mistral AI model is the excellent balance between cost and performance. The adoption of sparse MOEs makes these models efficient, cost-effective, and scalable, while keeping costs under control. Speed up inferenceThe Mistral AI model has impressive inference speeds and is optimized for low latency. Relative to their scale, these models have low memory requirements and provide high throughput. This feature is especially important when you want to scale your production use cases. Transparent and trustworthyMistral AI models are transparent and customizable. This enables organizations to meet strict regulatory requirements. Target a wide range of usersThe Mistral AI model is available to all users. This helps organizations of any size integrate generative AI capabilities into their applications. Fine-tuning just got easierMistral AI models can be fine-tuned quickly and easily with user-defined data to drive specific task solving, delivering significant performance gains to deliver business insights. Coming soon
A public model of Mistral AI is coming to Amazon Bedrock, scan below for more details.
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Let's witness one small step for Amazon together.
A big step forward for cloud computing.