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 of ChatGPT’s memory.
Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data
Michael Lindon, Chris Sanden, Vache Shirikian, Yanjun Liu, Minal Mishra, Martin Tingley 1. Spot the Difference Can you spot any difference between the two data streams below? Each observation is the time interval between a Netflix member hitting the play button and playback commencing, i.e., play-delay. These observations are from a particular type of A/B test …
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Part 1: Continuous Data”
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 seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI (artificial intelligence) promises a similar …
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 the influence of any individual user’s information while processing and analyzing data. DP offers a robust solution to address growing concerns about data protection, enabling technologies across industries and government applications (e.g., the US census) …
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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 grocery store. They operate in multiple ecommerce channels such as quick commerce, slotted delivery, and daily subscriptions. You can also buy from their physical stores and vending machines. They offer a large assortment of over …
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 technologies that power Google Search can greatly enhance the effectiveness of the information retrieval capabilities of a RAG system. In this follow-up post, we will now take a deeper look at the other critical technologies …
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Health & Life Sciences Research with Palantir: 2023 in Review
Health & Life Sciences Research with Palantir 2023 in Review Health Research + Technology: A Turning Point Palantir Foundry has long been instrumental in accelerating the research findings of our health and life science partners, helping achieve unprecedented insights, streamline data access, improve data usability, and facilitate advanced visualization and analysis of data sources — all while protecting the privacy …
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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 meaningful insights from the vast digital footprints they leave behind. Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. …
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 industry, Booking.com is always seeking innovative ways to enhance its services and provide customers with tailored and seamless experiences. The Ranking team at Booking.com plays a pivotal role in ensuring that the search and recommendation …
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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 more likely to hallucinate and provide inaccurate or false responses. Developers are increasingly excited about generative AI and Retrieval Augmented Generation (RAG) — an architecture pattern that combines LLMs with backend information retrieval from other …
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