Headline : AWS re:Invent 2024: From upgrades to Amazon Bedrock to Nova foundation models, key takeaways

Read more from the original article on here at indianexpress.com.

---

No. of Paragraph 26

AWS CEO Matt Garman made a slew of announcements about the company’s AI offerings on Tuesday, December 3. At Amazon’s flagship cloud event, AWS re:Invent 2024, Garman reaffirmed the company’s longstanding commitment to innovation, with customers at its core. During the keynote, Garman announced upgrades to Amazon Bedrock, its platform designed to help companies build generative AI tools; the next generation of Amazon SageMaker; upgrades to Amazon Q Business; new capabilities for Amazon Q Developer; and more.

Below is a look at some key announcements from the high-stakes keynote by Matt Garman.

During his keynote, Garman introduced some enhancements to Amazon Bedrock, essentially making it more safe and efficient. The platform now has factual accuracy with automated reasoning, which is groundbreaking as it is a safeguard against AI hallucinations. Garman said that the tool offers logically accurate outputs, which is crucial for healthcare and finance sectors. Factual accuracy and automated reasoning are integrated with Bedrock Guardrails, and it validates responses, offers audit trails, and streamlines AI outputs. Another key update is the multi-agent collaboration, which means Amazon Bedrock agents will now support complex workflows by managing specialised AI agents. These agents will be able to work across diverse data sources to automate the most complex tasks, like financial analysis. Amazon Bedrock also gets cost-effective model customisation, which is essentially its new model distillation feature that allows customers to create smaller, faster models with performance on par with larger models. And it does this without the need of machine learning expertise. Garman said that users can fine-tune models for specific use cases, reducing costs and latency, making them suitable for real-time applications.

Launched in 2017, Amazon SageMaker is essentially a cloud-based machine-learning platform that lets developers create, train, and deploy ML models on the cloud. At the event, Garman introduced the next generation of Amazon SageMaker with a slew of features such as SageMaker Unified Studio, SageMaker Catalog, SageMaker LakeHouse, and Zero-ETL integrations. While the SageMaker Unified Studio offers a centralised environment for data and AI development, allowing seamless access to organisational data, SageMaker Catalog enhances security and compliance by managing access to data and AI models.

Read more from the original article on here at indianexpress.com.

Related Headlines : AWS re:Invent 2024: From upgrades to Amazon Bedrock to Nova foundation models, key takeaways (in Google.com):

Hello, below you have a "Web" tab to read more content and an "Image" tab to get related pictures

Example : Trends, Country, News, Jobs, Scholarships, Investment, Business, Politics, Adverts, Fashion, Events, Technology and more.