Author name: aifuturethinkers.com

While video models often “hallucinate” unwanted details — extra fingers or unexpected objects, for example — Veo 2 produces these less frequently, making outputs more realistic. Our commitment to safety and responsible development has guided Veo 2. We have been intentionally measured in growing Veo’s availability, so we can help identify, understand and improve the …

Updates to Veo, Imagen and VideoFX, plus introducing Whisk in Google Labs Read More »

Learn what the Functional API is, and how to build complex keras models using it Photo by Hunter Harritt on Unsplash TensorFlow’s Sequential API helps the user to stack layers one on top of another, easily creating linear models, where the input of each layer is always the output of the previous one. But what …

Introduction to TensorFlow’s Functional API | by Javier Martínez Ojeda | Dec, 2024 Read More »

Responsibility & Safety Published 17 December 2024 Authors FACTS team Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations Large language models (LLMs) are transforming how we access information, yet their grip on factual accuracy remains imperfect. They can “hallucinate” …

FACTS Grounding: A new benchmark for evaluating the factuality of large language models Read More »

Let’s dive into the most important libraries in R and Python to visualise data and create different charts, and what the pros and cons are Being a pro in certain programming languages is the goal of every aspiring data professional. Reaching a certain level in one of the countless languages is a critical milestone for …

The Essential Guide to R and Python Libraries for Data Visualization | by Sarah Lea | Dec, 2024 Read More »

Research Published 3 May 2024 Developing next-gen AI agents, exploring new modalities, and pioneering foundational learning Next week, AI researchers from around the globe will converge at the 12th International Conference on Learning Representations (ICLR), set to take place May 7-11 in Vienna, Austria. Raia Hadsell, Vice President of Research at Google DeepMind, will deliver …

Google DeepMind at ICLR 2024 Read More »

An aggregated look on the differences between then & now: 2020 vs 2024 — some big frustrations and positive learnings. Yes this is actually a screenshot of my own LinkedIn [1]. Introduction Application Process Interview Process Summary References This article is intended for data scientists looking for a company change, people considering applying and interviewing …

How Have Data Science Interviews Changed Over 4 Years? | by Matt Przybyla | Dec, 2024 Read More »

Update November 11, 2024: As of November 2024, we have released AlphaFold 3 model code and weights for academic use to help advance research. Learn more about AlphaFold tools. Original post: Inside every plant, animal and human cell are billions of molecular machines. They’re made up of proteins, DNA and other molecules, but no single …

Google DeepMind and Isomorphic Labs introduce AlphaFold 3 AI model Read More »

In this article we will explore why 128K tokens (and more) models can’t fully replace using RAG. We’ll start with a brief reminder of the problems that can be solved with RAG, before looking at the improvements in LLMs and their impact on the need to use RAG. Illustration by the author. RAG isn’t really …

Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models | by Jérôme DIAZ | Dec, 2024 Read More »

A note from Google and Alphabet CEO Sundar Pichai: Information is at the core of human progress. It’s why we’ve focused for more than 26 years on our mission to organize the world’s information and make it accessible and useful. And it’s why we continue to push the frontiers of AI to organize that information …

A new AI model for the agentic era Read More »

Part 1: Leverage linear regression and decision trees to impute time-series gaps. Source: DALL-E. Missing data in time-series analysis — sounds familiar? Does missing data in your datasets due to malfunctioning sensors, transmission, or any kind of maintenance sound all too familiar to you? Well, missing values derail your forecast and skew your analysis. So, …

Missing Data in Time-Series: Machine Learning Techniques | by Sara Nóbrega | Dec, 2024 Read More »