Remove APIs Remove Personalization Remove Transportation
article thumbnail

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 113
article thumbnail

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 121
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

article thumbnail

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
article thumbnail

Medical content creation in the age of generative AI

AWS Machine Learning

In step 3, the frontend sends the HTTPS request via the WebSocket API and API gateway and triggers the first Amazon Lambda function. Our generative system allows a high degree of personalization so you can easily tailor and specialize the content to new settings, by simply adjusting the input data.

article thumbnail

Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Examples of such information are personally identifiable information (PII), personal health information (PHI), and payment card industry (PCI) data. Both HTTP/2 and WebSockets streaming connections are established over Transport Layer Security (TLS), which is a widely accepted cryptographic protocol. We recommend using TLS 1.2

article thumbnail

Revolutionize trip planning with Amazon Bedrock and Amazon Location Service

AWS Machine Learning

It’s like having your own personal travel agent whenever you need it. By using advanced AI technology and Amazon Location Service , the trip planner lets users translate inspiration into personalized travel itineraries. Amazon Bedrock is the place to start when building applications that will amaze and inspire your users.

APIs 94