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”
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”
Editor’s Note: This is the second post in a series that shares insights from our journey to enhance our software supply chain security story at Palantir. This post provides background on how Palantir integrates threat modeling into product development. Introduction Palantir has always placed security as a first-order consideration in our products and it serves …
Today, we are excited to announce that Pixtral 12B (pixtral-12b-2409), a state-of-the-art vision language model (VLM) from Mistral AI that excels in both text-only and multimodal tasks, is available for customers through Amazon SageMaker JumpStart. You can try this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models …
Read more “Pixtral 12B is now available on Amazon SageMaker JumpStart”
Conventional fraud detection methods have a hard time keeping up with increasingly sophisticated criminal tactics. Existing systems often rely on the limited data of individual institutions, and this hinders the detection of intricate schemes that span multiple banks and jurisdictions. To better combat fraud in cross-border payments, Swift, the global provider of secure financial messaging …
This paper was accepted for presentation at the International Workshop on Federated Foundation Models (FL@FM-NeurIPS’24), held in conjunction with NeurIPS 2024. Asynchronous protocols have been shown to improve the scalability of federated learning (FL) with a massive number of clients. Meanwhile, momentum-based methods can achieve the best model quality in synchronous FL. However, naively applying …
Read more “Momentum Approximation in Asynchronous Private Federated Learning”