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Pixtral 12B is now available on Amazon SageMaker JumpStart

Pixtral 12B is now available on Amazon SageMaker JumpStart

Today, we are excited to announce that Pixtral 12B (pixtral-12b-2409), a state-of-the-art vision language model (VLM) from Mistral AI that excels in both text-only and multimodal tasks, is available for customers through Amazon SageMaker JumpStart. You can try this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models …

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Talk to your slide deck using multimodal foundation models on Amazon Bedrock – Part 3

Talk to your slide deck using multimodal foundation models on Amazon Bedrock – Part 3

In this series, we share two approaches to gain insights on multimodal data like text, images, and charts. In Part 1, we presented an “embed first, infer later” solution that uses the Amazon Titan Multimodal Embeddings foundation model (FM) to convert individual slides from a slide deck into embeddings. We stored the embeddings in a …

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Automate actions across enterprise applications using Amazon Q Business plugins

Automate actions across enterprise applications using Amazon Q Business plugins

Amazon Q Business is a generative AI-powered assistant that enhances employee productivity by solving problems, generating content, and providing insights across enterprise data sources. Beyond searching indexed third-party services, employees need access to dynamic, near real-time data such as stock prices, vacation balances, and location tracking, which is made possible through Amazon Q Business plugins. …

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Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow

Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker, users want a seamless and secure way to experiment with and select the models that deliver the most value for their business. In the initial stages of an ML …

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Geocoding: The first step towards unlocking location intelligence

Microsoft Azure Maps is a collection of mapping and location APIs that enable enterprises to add location intelligence into their solutions. The Geocoding Service is one of the most prominently used Maps APIs that enables geocoding of addresses (conversion of textual addresses into geographic coordinates) and vice versa. For example, a coffee shop name or …

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Mistral-NeMo-Instruct-2407 and Mistral-NeMo-Base-2407 are now available on SageMaker JumpStart

Mistral-NeMo-Instruct-2407 and Mistral-NeMo-Base-2407 are now available on SageMaker JumpStart

Today, we are excited to announce that Mistral-NeMo-Base-2407 and Mistral-NeMo-Instruct-2407—twelve billion parameter large language models from Mistral AI that excel at text generation—are available for customers through Amazon SageMaker JumpStart. You can try these models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for …

Mistral-NeMo-Instruct-2407 and Mistral-NeMo-Base-2407 are now available on SageMaker JumpStart Read More »

Advancing AI trust with new responsible AI tools, capabilities, and resources

Advancing AI trust with new responsible AI tools, capabilities, and resources

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society. This belief is at the heart of our long-standing commitment to building …

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Deploy RAG applications on Amazon SageMaker JumpStart using FAISS

Deploy RAG applications on Amazon SageMaker JumpStart using FAISS

Generative AI has empowered customers with their own information in unprecedented ways, reshaping interactions across various industries by enabling intuitive and personalized experiences. This transformation is significantly enhanced by Retrieval Augmented Generation (RAG), which is a generative AI pattern where the large language model (LLM) being used references a knowledge corpus outside of its training …

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Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

Today, organizations are constantly seeking ways to use advanced large language models (LLMs) for their specific needs. These organizations are engaging in both pre-training and fine-tuning massive LLMs, with parameter counts in the billions. This process aims to enhance model efficacy for a wide array of applications across diverse sectors, including healthcare, financial services, and …

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