Remove 2012 Remove APIs Remove Personalization
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Amazon Bedrock Guardrails announces IAM Policy-based enforcement to deliver safe AI interactions

AWS Machine Learning

Beyond Amazon Bedrock models, the service offers the flexible ApplyGuardrails API that enables you to assess text using your pre-configured guardrails without invoking FMs, allowing you to implement safety controls across generative AI applicationswhether running on Amazon Bedrock or on other systemsat both input and output levels.

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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning

The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

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Recommend top trending items to your users using the new Amazon Personalize recipe

AWS Machine Learning

Amazon Personalize is excited to announce the new Trending-Now recipe to help you recommend items gaining popularity at the fastest pace among your users. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

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Automatic image cropping with Amazon Rekognition

AWS Machine Learning

Amazon Rekognition makes it easy to add this capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

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Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

With metadata filters on work groups and a privilege level (for example Limited , Standard , or Admin ) derived from their SSO authentication, you can enforce data security while personalizing the chat experience to streamline a user’s work and collaboration with others. import boto3 import json bedrock_agent = boto3.client('bedrock-agent-runtime')

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Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock

AWS Machine Learning

Whether you’re a person with a motor disability, juggling multiple tasks, or simply away from your computer, getting search results without typing is a valuable feature. This chatbot is designed to assist users with various tasks, provide information, and offer personalized support based on their unique requirements.

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The IoT Chronicles Part 2: Three Big Security Threats—and How to Solve Them

Avaya

Having said that, here are three massive IoT security threats we’re seeing today (and how to expertly address them): Personally-owned devices: Research shows that about 40% of U.S. Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations.

APIs 72