ai/ml

Memory and new controls for ChatGPT

We’re testing the ability for ChatGPT to remember things you discuss to make future chats more helpful. You’re in control…

2 years ago

Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data

Michael Lindon, Chris Sanden, Vache Shirikian, Yanjun Liu, Minal Mishra, Martin Tingley1. Spot the DifferenceCan you spot any difference between the…

2 years ago

Generative AI use cases for the enterprise

Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity…

2 years ago

DP-Auditorium: A flexible library for auditing differential privacy

Posted by Mónica Ribero Díaz, Research Scientist, Google Research Differential privacy (DP) is a property of randomized mechanisms that limit…

2 years ago

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest online food and…

2 years ago

Your RAGs powered by Google Search technology, part 2

In the first post of this series, we explored the concept of retrieval augmented generation (RAG) and how the same…

2 years ago

Health & Life Sciences Research with Palantir: 2023 in Review

Health & Life Sciences Research with Palantir2023 in ReviewHealth Research + Technology: A Turning PointPalantir Foundry has long been instrumental in accelerating the…

2 years ago

Maximizing your event-driven architecture investments: Unleashing the power of Apache Kafka with IBM Event Automation

In today’s rapidly evolving digital landscape, enterprises are facing the complexities of information overload. This leaves them grappling to extract…

2 years ago

How Booking.com modernized its ML experimentation framework with Amazon SageMaker

This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com. As a global leader in the online travel…

2 years ago

Your RAGs powered by Google Search technology, part 1

When a large language model (LLM) doesn’t have enough information or has no contextual knowledge of a topic, it is…

2 years ago