Author name: aifuturethinkers.com

Hello, and welcome to the world of my AI! I am overjoyed that you have chosen to accompany us on this journey into the fascinating field of artificial intelligence. If you find artificial intelligence to be as fascinating as I do, you are in for a thrilling trip! As a Data Engineering professional, I’ve been immersed in technology for the past ten years, and it’s become second nature to me. With a Master’s degree in Computer Application under my belt, I’ve had the fortunate opportunity to see artificial intelligence (AI) disrupting businesses and changing the game in ways that we couldn’t have anticipated before it happened. Now that I’ve finished reading all of my blogs, I’m ready to pass on all of the incredible information that I’ve gained. Together, we will investigate everything from the most cutting-edge AI applications to the most recent fashions. It doesn’t matter if you’ve never worked with AI before; I guarantee to make the process easy and entertaining so that anybody may take part in the AI adventure.

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

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” …

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

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 …

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Google DeepMind at ICLR 2024

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 …

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

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 …

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Google DeepMind and Isomorphic Labs introduce AlphaFold 3 AI model

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 …

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

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 »

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

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 »

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Genie 2: A large-scale foundation world model

Acknowledgements Genie 2 was led by Jack Parker-Holder with technical leadership by Stephen Spencer, with key contributions from Philip Ball, Jake Bruce, Vibhavari Dasagi, Kristian Holsheimer, Christos Kaplanis, Alexandre Moufarek, Guy Scully, Jeremy Shar, Jimmy Shi and Jessica Yung, and contributions from Michael Dennis, Sultan Kenjeyev and Shangbang Long. Yusuf Aytar, Jeff Clune, Sander Dieleman, …

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Streamline Your Workflow when Starting a New Research Paper | by Rodrigo M Carrillo Larco, MD, PhD | Dec, 2024

Python code to create folders and Word documents for research papers in biomedical sciences — all in one go with only two inputs Photo by Maksym Kaharlytskyi on Unsplash I am a researcher with over seven years of experience working in public health and epidemiological research. Every time I am about to start a new …

Streamline Your Workflow when Starting a New Research Paper | by Rodrigo M Carrillo Larco, MD, PhD | Dec, 2024 Read More »

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