AI

How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

This post is co-written with Aishwarya Gupta, Apurva Gawad, and Oliver Cody from Twilio. Today’s leading companies trust Twilio’s Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey,

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Helping robots practice skills independently to adapt to unfamiliar environments

The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed in unfamiliar environments. Picture a robot arriving in a warehouse. It comes packaged with the skills it was trained on, like placing an object, and now it needs to pick items from a shelf it’s

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Dimitris Bertsimas named vice provost for open learning

Dimitris Bertsimas PhD ’88 has been appointed vice provost for open learning at MIT, effective Sept. 1. In this role, Bertsimas, who is the Boeing Leaders for Global Operations Professor of Management at MIT, will work with partners across the Institute to transform teaching and learning on and off MIT’s campus. Provost Cynthia Barnhart announced

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Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model

AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Trained on a large volume of datasets, these models incorporate memory components in their architectural design, allowing them to understand and comprehend textual context. Most common use cases for chatbot assistants focus on a few

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Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines

Innovations in artificial intelligence (AI) and machine learning (ML) are causing organizations to take a fresh look at the possibilities these technologies can offer. As you aim to bring your proofs of concept to production at an enterprise scale, you may experience challenges aligning with the strict security compliance requirements of their organization. In the

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Build custom generative AI applications powered by Amazon Bedrock

With last month’s blog, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. Now I’d like to turn to a slightly more technical, but equally important differentiator for Bedrock—the

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