Introducing Gemini 2.0: our new AI model for the agentic era
Today, we’re announcing Gemini 2.0, our most capable multimodal AI model yet.
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models
*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”
How AWS sales uses Amazon Q Business for customer engagement
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”
Unwrap 12 days of training to learn generative AI this December
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”
How Palantir Integrates Threat Modeling Into Product Development (Software Supply Chain Series, #2)
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 …
Pixtral 12B is now available on Amazon SageMaker JumpStart
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”
Google Cloud and Swift pioneer advanced AI and federated learning tech to help combat payments fraud
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 …
Momentum Approximation in Asynchronous Private Federated Learning
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”
Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow
With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker, users want a seamless and secure way to experiment with and select the models that deliver the most value for their business. In the initial stages of an ML …
Toyota shifts into overdrive: Developing an AI platform for enhanced manufacturing efficiency
The automotive industry is facing a profound transformation, driven by the rise of CASE, — connected cars, autonomous and automated driving, shared mobility, and electrification. Simultaneously, manufacturers face the imperative to further increase efficiency, automate manufacturing, and improve quality. AI has emerged as a critical enabler of this evolution. In this dynamic landscape, Toyota turned …