Generative AI Models Are Built to Hallucinate: The Question is How to Control Them

In this contributed article, Stefano Soatto, Professor of Computer Science at the University of California, Los Angeles and a Vice President at Amazon Web Services, discusses generative AI models and how they are designed and trained to hallucinate, so hallucinations are a common product of any generative model. However, instead of preventing generative AI models from hallucinating, we should be designing AI systems that can control them. Hallucinations are indeed a problem – a big problem – but one that an AI system, that includes a generative model as a component, can control.

The Key to Winning the Generative AI Race: Solve Real Problems

In this contributed article, Syed Hoda, Digital Innovation leader at AWS, discusses how businesses can generate real value from AI and generative AI. Syed provides practical insights and advice for organizations, especially small businesses, looking to cut through the fanfare and find real ways they can apply these new technologies to their businesses.

AWS Announces Amazon DataZone GA to Simplify Data Discovery and Governance

Amazon Web Services (AWS) announced the general availability of Amazon DataZone, a data management service that enables customers to catalog, discover, govern, share, and analyze data at scale across organizational boundaries. With Amazon DataZone, users can share and access data throughout an organization via a unified data portal and add business context to data to make data discovery easier, while balancing access governance with pre-defined approvals.

AWS Announces Generative AI Innovation Center with $100 million Investment

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions. AWS is investing $100 million in the program, which will connect AWS AI and machine learning (ML) experts with customers around the globe to help them envision, design, and launch new generative AI products, services, and processes.

NVIDIA Hopper GPUs Expand Reach as Demand for AI Grows

NVIDIA and key partners today announced the availability of new products and services featuring the NVIDIA H100 Tensor Core GPU — the powerful GPU for AI — to address rapidly growing demand for generative AI training and inference. 

AWS Announces 10 New AI Features at AWS re:Invent 2022

At AWS re:Invent 2022, Amazon Web Services (AWS) announced 10 new features to its portfolio of AI services, and is excited to expand its offerings to more than 100,000 customers who currently rely on AWS for AI and ML initiatives. Please see below for a high-level overview of these new features.

The Anyscale Platform™, built on Ray, Introduces New Breakthroughs in AI Development, Experimentation and AI Scaling

Anyscale, the company behind Ray open source, the unified compute framework for scaling any machine learning or Python workload, announced several new advancements on the Anyscale Platform™ at AWS re:Invent in Las Vegas, NV. The new capabilities extend beyond the advantages of Ray open source to make AI/ML and Python workload development, experimentation, and scaling even easier for developers.

AWS Celebrates 5 Years of Innovation with Amazon SageMaker

In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly predictions. The seeds of a machine learning (ML) paradigm shift were there for decades, but with the ready availability of virtually infinite compute capacity, […]

Surging to the Front of the Cloud Race: The S3 API and Object Storage

In this contributed article, editorial consultant Jelani Harper discusses object storage, the S3 protocol, and contemporary cloud developments. The competition for supremacy in the public cloud computing marketplace is one of the most eagerly watched contests throughout the data landscape. With AWS, Google, and Azure all vying with one another to offer the most advantageous services for what’s only a broadening user base, there’s no scarcity of innovations as they attempt to outmatch one another for customer patronage and loyalty.

eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions

To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. This innovative resource is designed as a broad compilation of use cases submitted by AWS Marketplace data providers.