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Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents

ContentsEvery company I worked for until today, there it was: the resilient MS Excel. Excel was first released in 1985 and has remained strong until today. It has survived the rise of relational databases, the evolution of many programming languages, the Internet with its infinite number of online applications, and finally, it is also surviving …

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Gemini 2.5 Pro Preview: even better coding performance

We’ve seen developers doing amazing things with Gemini 2.5 Pro, so we decided to release an updated version a couple of weeks early to get into developers hands sooner. Today we’re excited to release Gemini 2.5 Pro Preview (I/O edition). This update features even stronger coding capabilities, for you to start building with before Google …

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Benchmarking Tabular Reinforcement Learning Algorithms

posts, we explored Part I of the seminal book Reinforcement Learning by Sutton and Barto [1] (*). In that section, we delved into the three fundamental techniques underlying nearly every modern Reinforcement Learning (RL) algorithm: Dynamic Programming (DP), Monte Carlo methods (MC), and Temporal Difference Learning (TD). We not only discussed algorithms from each field …

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From motor control to embodied intelligence

Research Published 31 August 2022 Authors Siqi Liu, Leonard Hasenclever, Steven Bohez, Guy Lever, Zhe Wang, S. M. Ali Eslami, Nicolas Heess Using human and animal motions to teach robots to dribble a ball, and simulated humanoid characters to carry boxes and play football Humanoid character learning to traverse an obstacle course through trial-and-error, which …

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From a Point to L∞ | Towards Data Science

Contentsyou should read this Our Agenda:A Brief Note on Mathematical AbstractionThe “Normal” Norms: L1 and L2L¹ vs. L² Loss — Similarities and DifferencesL¹ Regularization (Lasso)L2 Regularization (Ridge)L¹ Loss in Generative Adversarial Networks (GANs)Why tiny differences matterGeneralizing Distance to LᵖThe L∞ NormConclusion you should read this  As someone who did a Bachelors in Mathematics I was first introduced to L¹ and L² as a measure …

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In conversation with AI: building better language models

ContentsNew research drawing upon pragmatics and philosophy proposes ways to align conversational agents with human valuesInsights from pragmaticsDiscursive idealsPaths ahead New research drawing upon pragmatics and philosophy proposes ways to align conversational agents with human values Language is an essential human trait and the primary means by which we communicate information including thoughts, intentions, and …

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Maximising the impact of our breakthroughs

Applying our AI research to help enrich the lives of billions of people around the world Building useful products with new technologies has always been one of my greatest joys. As a boy, I’d spend hours connecting resistors, capacitors, and other electronic components with wires. First I’d assemble a Morse code circuit. Then dissemble the …

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From FOMO to Opportunity: Analytical AI in the Era of LLM Agents

“fear of missing out” (FOMO) when it comes to LLM agents? Well, that was the case for me for quite a while. In recent months, it feels like my online feeds have been completely bombarded by “LLM Agents”: every other technical blog is trying to show me “how to build an agent in 5 minutes”. …

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How our principles helped define AlphaFold’s release

Company Published 14 September 2022 Authors Koray Kavukcuoglu, Pushmeet Kohli, Lila Ibrahim, Dawn Bloxwich, Sasha Brown Reflections and lessons on sharing one of our biggest breakthroughs with the world Putting our mission of solving intelligence to advance science and benefit humanity into practice comes with crucial responsibilities. To help create a positive impact for society, …

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