Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

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In this post, we illustrate contextually enhancing a chatbot by using Knowledge Bases for Amazon Bedrock, a fully managed serverless service... The Knowledge Bases for Amazon Bedrock integration allows our chatbot to provide more relevant, personalized responses by linking user queries to related information data points... Internally, Amazon Bedrock uses embeddings stored in a vector database to...

How to automate rule management for AWS Network Firewall

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In this model, customers allocate the responsibility for managing the rulesets to the owners of the VPC infrastructure (spoke accounts) being protected, thereby shifting accountability and providing flexibility to the spoke accounts... Managing rulesets in a shared firewall policy generated from distributed input configurations of protected VPCs (spoke accounts) is challenging without proper inpu...

Code Llama 70B is now available in Amazon SageMaker JumpStart

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Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference... Code Llama is a state-of-the-art large language model (LLM) capable of generating code and natural language about code from both code and natural language prompts... You can try out this model with S...

Continued innovation with Azure VMware Solution

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Over the past three years, Microsoft and VMware have worked together closely to deliver our Azure VMware Solution (AVS) to customers in more than 30 Azure regions around the globe... It is a fully managed Microsoft service, based on VMware Cloud Foundation technologies, running on VMware validated Azure infrastructure... Azure VMware Solution enables customers to migrate or extend VMware workloads...

Enhancing Game and Media Workflows with Global File Systems on AWS

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Amazon Simple Storage Service (Amazon S3) Multi-Region Access Point + Mountpoint for Amazon S3 Ideal for Linux applications and processing large-scale workloads from terabytes to petabytes... Amazon S3 MRAP (Multi-Region Access Point) is a feature of Amazon S3 that allows you to create a single endpoint for accessing data that is replicated across multiple AWS Regions... When applications acce...

Detect anomalies in manufacturing data using Amazon SageMaker Canvas

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This dilemma hampers the creation of efficient models that use data to generate business-relevant insights... Amazon SageMaker Canvas addresses this dilemma by providing domain experts a no-code interface to create powerful analytics and ML models, such as forecasts, classification, or regression models... It also allows you to deploy and share these models with ML and MLOps specialists after cr...