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Gen AI News Talk

Reduce conversational AI response time through inference at the edge with AWS Local Zones

Recent advances in generative AI have led to the proliferation of new generation of conversational AI assistants powered by foundation models (FMs). These latency-sensitive applications enable real-time text and voice interactions, responding naturally to human conversations. Their applications span a variety of sectors, including...

The end of an era: the final AWS DeepRacer League Championship at re:Invent 2024

AWS DeepRacer League 2024 Championship finalists at re:Invent 2024 The AWS DeepRacer League is the world’s first global autonomous racing league powered by machine learning (ML). Over the past 6 years, a diverse community of over 560,000 builders from more than 150 countries worldwide...

Optimizing AI implementation costs with Automat-it

This post was written by Claudiu Bota, Oleg Yurchenko, and Vladyslav Melnyk of AWS Partner Automat-it. As organizations adopt AI and machine learning (ML), they’re using these technologies to improve processes and enhance products. AI use cases include video analytics, market predictions, fraud detection, and...

Level up your problem-solving and strategic thinking skills with Amazon Bedrock

Organizations across many industries are harnessing the power of foundation models (FMs) and large language models (LLMs) to build generative AI applications to deliver new customer experiences, boost employee productivity, and drive innovation. Amazon Bedrock, a fully managed service that offers a choice of high-performing...

Streamline work insights with the Amazon Q Business connector for Smartsheet

Amazon Q Business is a fully managed, generative AI–powered assistant that empowers enterprises to unlock the full potential of their data and organizational knowledge. With Amazon Q Business, you can quickly access answers to questions, generate summaries and content, and complete tasks by using...

AWS DeepRacer: Closing time at AWS re:Invent 2024 –How did that physical racing go?

Having spent the last years studying the art of AWS DeepRacer in the physical world, the author went to AWS re:Invent 2024. How did it go? In AWS DeepRacer: How to master physical racing?, I wrote in detail about some aspects relevant to racing...