Contents5. Univariate sequential encoding6. Pruning Mechanism7. Exemplar estimation8. Recommendation approachesUsing groupby instead of vector search 5. Univariate sequential encoding It is time to build the sequential mechanism to keep track of user choices over time. The mechanism I idealized works on two separate vectors (that after the process end up being one, hence univariate), a …

Introducing Univariate Exemplar Recommenders: how to profile Customer Behavior in a single vector | by Michelangiolo Mazzeschi | Dec, 2024 Read More »

Technologies Published 14 May 2024 Announcing our novel watermarking method for AI-generated text and video, and how we’re bringing SynthID to key Google products Generative AI tools — and the large language model technologies behind them — have captured the public imagination. From helping with work tasks to enhancing creativity, these tools are quickly becoming …

Watermarking AI-generated text and video with SynthID Read More »

The Chief Historian is always present for the big Christmas sleigh launch, but nobody has seen him in months! Last anyone heard, he was visiting locations that are historically significant to the North Pole; a group of Senior Historians has asked you to accompany them as they check the places they think he was most …

Google Gemini Is Entering the Advent of Code Challenge | by Heiko Hotz | Dec, 2024 Read More »

Responsible from design to deployment We’re mindful about not only advancing the state of the art, but doing so responsibly. So we’re taking measures to address the challenges raised by generative technologies and helping enable people and organizations to responsibly work with AI-generated content. For each of these technologies, we’ve been working with the creative …

Introducing Veo and Imagen 3 generative AI tools Read More »

A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization. Deliver relevant content to readers at the right time. Image by author. At DER SPIEGEL, we are continually exploring ways to improve how we recommend news articles to our readers. In our latest (offline) experiment, we investigated whether Large Language Models (LLMs) …

Making News Recommendations Explainable with Large Language Models | by Alex Held | Nov, 2024 Read More »

1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model. Read more …

Flash 1.5, Gemma 2 and Project Astra Read More »

Ranking accuracy versus absolute accuracy Taken by the author and her Border Collie. “Be thankful for what you have. Be fearless for what you want” How long would you keep your Gym membership before you decide to cancel it? or Netflix if you are a series fan but busier than usual to allocate 2 hours …

The Intuition behind Concordance Index — Survival Analysis | by Antonieta Mastrogiuseppe | Nov, 2024 Read More »

Our approach to analyzing and mitigating future risks posed by advanced AI models Google DeepMind has consistently pushed the boundaries of AI, developing models that have transformed our understanding of what’s possible. We believe that AI technology on the horizon will provide society with invaluable tools to help tackle critical global challenges, such as climate …

Introducing the Frontier Safety Framework Read More »