If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a robot, though, the motto represents learning constraints, or limitations of a specific task within the machine’s environment, to do chores safely and correctly.
The Innovators Showcase at NRF 2025: Retail’s Big Show recognizes the top 50 tech leaders shaping the future of retail.
Information Retrieval (IR) systems used in search and recommendation platforms frequently employ Learning-to-Rank (LTR) models to rank items in response to user queries. These models heavily rely on features derived from user interactions, such as clicks and engagement data. This dependence introduces cold start issues for items lacking user engagement and poses challenges in adapting …
In Part 1 of this series, we introduced the newly launched ModelTrainer class on the Amazon SageMaker Python SDK and its benefits, and showed you how to fine-tune a Meta Llama 3.1 8B model on a custom dataset. In this post, we look at the enhancements to the ModelBuilder class, which lets you seamlessly deploy …
Dun & Bradstreet, a leading global provider of business data and analytics, is committed to maintaining its position at the forefront of innovation. For the past two years, this commitment has included the company’s deliberate approach to improving its software development lifecycle by infusing AI solutions. While development velocity and security were the company’s most …
Read more “How Dun & Bradstreet is transforming software development with Gemini Code Assist”
Quantum calculations of molecular systems often require extraordinary amounts of computing power; these calculations are typically performed on the world’s largest supercomputers to better understand real-world products such as batteries and semiconductors.
Today, we’re announcing Gemini 2.0, our most capable multimodal AI model yet.
*Equal Contributors Large language models (LLMs) are increasingly being adapted to achieve task-specificity for deployment in real-world decision systems. Several previous works have investigated the bias transfer hypothesis (BTH) by studying the effect of the fine-tuning adaptation strategy on model fairness to find that fairness in pre-trained masked language models have limited effect on the …
Read more “Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models”
Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. In addition to planning considerations when building an AI application from the ground up, it focused on our Account Summaries use case, which allows account teams to quickly understand the …
Read more “How AWS sales uses Amazon Q Business for customer engagement”
Tis the season for learning new skills! Get ready for 12 Days of Learning, a festive digital advent calendar packed with courses, hands-on labs, videos, and community opportunities—all designed to boost your generative AI expertise. Discover a new learning resource on Google Cloud’s social channels every day for twelve days this December. Before you start: …
Read more “Unwrap 12 days of training to learn generative AI this December”