At Apple, we believe privacy is a fundamental human right. It’s also one of our core values, influencing both our research and the design of Apple’s products and services. Understanding how people use their devices often helps in improving the user experience. However, accessing the data that provides such insights — for example, what users …
Read more “Apple Workshop on Privacy-Preserving Machine Learning 2024”
This post is co-written with Eliuth Triana, Abhishek Sawarkar, Jiahong Liu, Kshitiz Gupta, JR Morgan and Deepika Padmanabhan from NVIDIA. At the 2024 NVIDIA GTC conference, we announced support for NVIDIA NIM Inference Microservices in Amazon SageMaker Inference. This integration allows you to deploy industry-leading large language models (LLMs) on SageMaker and optimize their performance and …
Read more “Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker”
Over the past few months, early users put Imagen 3 on Vertex AI through its paces and shared valuable insights with us. It’s clear that users want an AI model that generates stunning visuals and empowers your practical creative applications. We’ve used their feedback to identify three common themes: Demand for unparalleled quality across diverse …
Read more “A developer’s guide to getting started with Imagen 3 on Vertex AI”
Several enterprises are tapping Meta’s Llama family of models, including AT&T, DoorDash, Goldman Sachs, Niantic, Zoom and KPMG.Read More
A few hours before the opening ceremony, we spoke with the former sprinter, who today is the European Space Agency’s first para-astronaut.
A small team of AI researchers with members from the Allen Institute for AI, Stanford University, and the University of Chicago, all in the U.S., has found that popular LLMs exhibit covert racism against people who speak African American English (AAE).
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Reinforcement Learning (RL) has emerged as a powerful paradigm in artificial intelligence, enabling machines to learn optimal behavior through interaction with their environment. In RL, an agent learns to make decisions by performing actions and receiving rewards or penalties, ultimately aiming to maximize cumulative rewards over time. This approach has led to remarkable advancements across …
Read more “5 Groundbreaking Applications of Reinforcement Learning in 2024”
When we began studying jailbreak evaluations, we found a fascinating paper claiming that you could jailbreak frontier LLMs simply by translating forbidden prompts into obscure languages. Excited by this result, we attempted to reproduce it and found something unexpected.