Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in a large number of images. Typically, this involves manually editing each image with photo software. This can take a lot of effort, especially for large batches of images. However, Amazon Bedrock and AWS Step Functions …
At any given time, eBay’s marketplace has more than 1.9 billion listings from millions of different sellers, running the gamut from the latest gadgets to the most obscure collectibles. Using deep machine learning (ML), AI-driven search capabilities, and natural language processing (NLP), we have streamlined the user experience, making it easier to explore and find …
Read more “eBay accelerates its AI-driven recommendation engine with Vertex AI”
NVIDIA is offering a new professional certification in generative AI to enable developers to establish technical credibility in this important domain. Generative AI is revolutionizing industries worldwide, yet there’s a critical skills gap and need to uplevel employees to more fully harness the technology. Available for the first time from NVIDIA, this new professional certification …
Read more “First Class: NVIDIA Introduces Generative AI Professional Certification”
Artificial intelligence helped clinicians to accelerate the design of diabetes prevention software, a new study finds.
Posted by Omar Benjelloun, Software Engineer, Google Research, and Peter Mattson, Software Engineer, Google Core ML and President, MLCommons Association Machine learning (ML) practitioners looking to reuse existing datasets to train an ML model often spend a lot of time understanding the data, making sense of its organization, or figuring out what subset to use …
Read more “Croissant: a metadata format for ML-ready datasets”
Software development is one arena where we are already seeing significant impacts from generative AI tools. The benefits are many, and significant productivity gains are currently available to enterprises that embrace these tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. The consulting firm’s …
Read more “9 ways developer productivity is boosted by generative AI”
Posted by Omar Benjelloun, Software Engineer, Google Research, and Peter Mattson, Software Engineer, Google Core ML and President, MLCommons Association Machine learning (ML) practitioners looking to reuse existing datasets to train an ML model often spend a lot of time understanding the data, making sense of its organization, or figuring out what subset to use …
Read more “Croissant: a metadata format for ML-ready datasets”
In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. Proteins are the molecular machines of the body, responsible for everything from moving your muscles to responding to infections. Despite this variety, all proteins are made of repeating chains of molecules called …
Read more “Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker”
Kubernetes is a popular way to run AI workloads like training, and large language model (LLM) serving, including our new open model Gemma. Google Kubernetes Engine (GKE) in Autopilot mode provides a fully managed Kubernetes platform that offers the power and flexibility of Kubernetes but without the need to worry about compute nodes, so you …
Paper abstract: Large-scale web-crawled datasets are fundamental for the success of pre-training vision-language models, such as CLIP. However, the inherent noise and potential irrelevance of web-crawled AltTexts pose challenges in achieving precise image-text alignment. Existing methods utilizing large language models (LLMs) for caption rewriting have shown promise on small, curated datasets like CC3M and CC12M. …
Read more “VeCLIP: Improving CLIP Training via Visual-enriched Captions”