ai/ml

Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in…

2 years ago

eBay accelerates its AI-driven recommendation engine with Vertex AI

At any given time, eBay’s marketplace has more than 1.9 billion listings from millions of different sellers, running the gamut…

2 years ago

First Class: NVIDIA Introduces Generative AI Professional Certification

NVIDIA is offering a new professional certification in generative AI to enable developers to establish technical credibility in this important…

2 years ago

AI can speed design of health software

Artificial intelligence helped clinicians to accelerate the design of diabetes prevention software, a new study finds.

2 years ago

Croissant: a metadata format for ML-ready datasets

Posted by Omar Benjelloun, Software Engineer, Google Research, and Peter Mattson, Software Engineer, Google Core ML and President, MLCommons Association…

2 years ago

9 ways developer productivity is boosted by generative AI

Software development is one arena where we are already seeing significant impacts from generative AI tools. The benefits are many,…

2 years ago

Croissant: a metadata format for ML-ready datasets

Posted by Omar Benjelloun, Software Engineer, Google Research, and Peter Mattson, Software Engineer, Google Core ML and President, MLCommons Association…

2 years ago

Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker

In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization…

2 years ago

Running AI on fully managed GKE, now with new compute options, pricing and resource reservations

Kubernetes is a popular way to run AI workloads like training, and large language model (LLM) serving, including our new…

2 years ago

VeCLIP: Improving CLIP Training via Visual-enriched Captions

Paper abstract: Large-scale web-crawled datasets are fundamental for the success of pre-training vision-language models, such as CLIP. However, the inherent…

2 years ago