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Develop generative AI applications to improve teaching and learning experiences

AWS Machine Learning

Generative AI and natural language programming (NLP) models have great potential to enhance teaching and learning by generating personalized learning content and providing engaging learning experiences for students. For our example, a teacher inputs the Kids and Bicycle Safety guidelines from the United States Department of Transportation.

APIs 98
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The Rise of Machine Customers: How to Seamlessly Integrate Services

CSM Magazine

For example, they can autonomously purchase goods and services, reflecting an evolving understanding of customer preferences and market dynamics. For instance, 5G networks and IoT protocols such as MQTT (Message Queuing Telemetry Transport) are critical for real-time data exchange.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 108
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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Amazon Transcribe can be used for transcription of customer care calls, multiparty conference calls, and voicemail messages, as well as subtitle generation for recorded and live videos, to name just a few examples. Applications must have valid credentials to sign API requests to AWS services. We recommend using TLS 1.2 or later.

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Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

All of the AWS AI services (for example, Amazon Textract , Amazon Comprehend , or Amazon Comprehend Medical ) used in IDP solutions are fully managed AI services where AWS secures their physical infrastructure, API endpoints, OS, and application code, and handles service resilience and failover within a given region.

APIs 79
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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning

You will also find a Deploy button, which takes you to a landing page where you can test inference with an example payload. Deploy Gemma with SageMaker Python SDK You can find the code showing the deployment of Gemma on JumpStart and an example of how to use the deployed model in this GitHub notebook.

Benchmark 101
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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