The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs
In an industry as competitive as machine learning (ML), job position candidates need a well-structured portfolio and access to all the avenues to gain industry exposure.
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 …
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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 …
Singapore startup Sapient enters global enterprise AI race with new model architectures
Central to Sapient’s success is its hybrid architecture that blends transformer components with recurrent neural network structures.Read More
Empowering older adults with home-care robots
The rapidly increasing aging population will lead to a shortage of care providers in the future. While robotic technologies are a potential alternative, their widespread use is limited by poor acceptance. In a new study, researchers have examined a user-centric approach to understand the factors influencing user willingness among caregivers and recipients in Japan, Ireland, …
General Motors Cuts Funding to Cruise, Nixing Its Robotaxi Plan
The automaker has sunk billions into making a self-driving car service work. Now it says it will focus on “personal” autonomous vehicles instead.
Some language reward models exhibit political bias even when trained on factual data
Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and have improved to the point that it is often impossible to distinguish between something written through generative AI and human-composed text. However, these models can also sometimes generate false statements or display a political bias.
Optimizing Machine Learning Models for Production: A Step-by-Step Guide
This article provides a comprehensive step-by-step guide designed to help you navigate the challenge of optimizing your machine learning (ML) models for production, by looking at all stages in their development lifecycle, i.
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 …
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