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Implementing protective measures in Knowledge Bases for Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Amazon OpenSearch Service, Announcements, Generative AI, Intermediate (200), Technical How-to, UncategorizedJuly 4, 202430Views0Likes0Comments
Amazon Bedrock's Knowledge Bases feature is aimed at securely linking foundation models with company data using Retrieval Augmented Generation (RAG). This boosts the RAG workflow, eliminating the need for custom data source integrations and data flow management. Guardrails for Amazon Bedrock enables organizations to implement safeguards tailored to their use cases and responsible AI policies.…

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Boost efficiency in handling scanned PDFs utilizing Amazon Q Business.

Amazon Machine Learning, Amazon Q, Announcements, Artificial Intelligence, Generative AI, Machine learning, UncategorizedJuly 3, 202433Views0Likes0Comments
Amazon's new product, Amazon Q Business, is a robust, artificially intelligent assistant capable of analyzing various types of documents such as receipts, health plans, tax statements, and more from industries like finance, insurance, healthcare, and life sciences. Unlike other software, Amazon Q Business eliminates the need to extract text from scanned PDF documents before it…

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The Jamba-Instruct model from AI21 Labs is now accessible on Amazon Bedrock.

Amazon Bedrock, Announcements, Artificial Intelligence, Foundational (100), Generative AI, UncategorizedJune 26, 202435Views0Likes0Comments
AI21 Labs has made its Jamba-Instruct large language model (LLM) available in Amazon Bedrock. Among its remarkable attributes, Jamba-Instruct supports a 256,000-token context window, making it suitable for handling large documents and complex Retrieval Augmented Generation (RAG) applications. This language model is the instructional version of the Jamba base model. It merges Structured State Space (SSM)…

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Monitor and simplify Machine Learning workload tracking on Amazon EKS via AWS Neuron Monitor container for better scaling.

Amazon Elastic Container Registry, Amazon Elastic Kubernetes Service, Announcements, Artificial Intelligence, AWS Inferentia, AWS Neuron, AWS Trainium, Compute, UncategorizedJune 26, 202439Views0Likes0Comments
Amazon Web Services (AWS) has launched the AWS Neuron Monitor container, a tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS). This solution simplifies the integration of monitoring tools such as Prometheus and Grafana, allowing management of machine learning (ML) workflows with AWS…

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Develop RAG applications with Jina Embeddings v2 on Amazon SageMaker JumpStart

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence, UncategorizedJune 7, 202435Views0Likes0Comments
Jina AI has developed a new artificial intelligence (AI) model called Jina Embeddings v2 which is now available to customers through Amazon's SageMaker JumpStart. This model allows users to deploy machine learning (ML) solutions with just a few clicks. The model supports a context length of up to 8,192 tokens and can be used in…

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Construct generative AI programs using Amazon Titan Text Premier, Amazon Bedrock, and AWS CDK.

Amazon Bedrock, Announcements, Artificial Intelligence, Generative AI, UncategorizedMay 15, 202435Views0Likes0Comments
Amazon has launched Amazon Titan Text Premier, a new large language model (LLM) as part of its Titan Text models. The model is now available in Amazon Bedrock, a managed service that provides a selection of high-performing foundation models from leading AI companies. The new model is intended for large-scale enterprise-grade text generation applications. Amazon…

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Amazon SageMaker now collaborates with Amazon DataZone to enhance the management of machine learning processes.

Amazon DataZone, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker Studio, Announcements, Artificial Intelligence, Launch, Thought Leadership, UncategorizedMay 9, 202448Views0Likes0Comments
Amazon has announced an integration between Amazon SageMaker, a fully managed machine learning (ML) service, and Amazon DataZone, a data management service. This integration is planned to facilitate infrastructure setup with security controls, collaboration on ML projects, and management of access to data and ML assets. When solving business issues using ML, one creates ML models…

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AWS Inferentia and AWS Trainium provide the most economical solution for deploying Llama 3 models via Amazon SageMaker JumpStart.

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence, AWS Inferentia, AWS Trainium, UncategorizedMay 3, 202440Views0Likes0Comments
Meta Llama 3 inference is now available on Amazon Web Services (AWS) Trainium and AWS Inferentia-based instances in Amazon SageMaker JumpStart. Meta Llama 3 models are pre-trained generative text models that can be used for a range of applications, including chatbots and AI assistants. AWS Inferentia and Trainium, used with Amazon EC2 instances, provide a…

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Begin exploring Amazon Titan Text Embeddings V2: An innovative embeddings model presented by Amazon Bedrock.

Amazon Bedrock, Amazon Machine Learning, Announcements, Artificial Intelligence, UncategorizedMay 3, 202435Views0Likes0Comments
Amazon recently announced the launch of its second-generation model for text embeddings, Amazon Titan Text Embeddings V2. Text embeddings are essential for various natural language processing (NLP) applications such as knowledge bases, language models, and recommendation systems. The Amazon Titan V2 model is optimized to support customer use cases such as Retrieval Augmented Generation (RAG),…

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