Welcome to the Machine Learning Hub, your one-stop destination for all things related to machine learning!
Get ready to embark on an exciting journey into the realm of AI and discover how machines can learn and make intelligent decisions. Our blog articles are crafted with simplicity and clarity in mind, making complex machine learning concepts easy to understand for everyone. Whether you’re a beginner or an experienced practitioner, we’ve got you covered with informative and insightful content. Explore the fascinating world of algorithms, models, and data as we delve into supervised and unsupervised learning, reinforcement learning, and more. Discover practical applications in various domains like healthcare, finance, and autonomous vehicles. From introductory guides to advanced techniques, we’re here to help you demystify machine learning and unlock its potential. Join us on this journey as we unravel the secrets of machine learning and empower you to build intelligent systems that can analyze data, make predictions, and drive innovation.
Let’s shape the future together with the power of machine learning!
Our next iteration of the FSF sets out stronger security protocols on the path to AGI AI is a powerful tool that is helping to unlock new breakthroughs and make significant progress on some of the biggest challenges of our time, from climate change to drug discovery. But as its development progresses, advanced capabilities may …
Metric collection is an essential part of every machine learning project, enabling us to track model performance and monitor training progress. Ideally, Metrics should be collected and computed without introducing any additional overhead to the training process. However, just like other components of the training loop, inefficient metric computation can introduce unnecessary overhead, increase training-step …
In December, we kicked off the agentic era by releasing an experimental version of Gemini 2.0 Flash — our highly efficient workhorse model for developers with low latency and enhanced performance. Earlier this year, we updated 2.0 Flash Thinking Experimental in Google AI Studio, which improved its performance by combining Flash’s speed with the ability …
In the world of machine learning, we obsess over model architectures, training pipelines, and hyper-parameter tuning, yet often overlook a fundamental aspect: how our features live and breathe throughout their lifecycle. From in-memory calculations that vanish after each prediction to the challenge of reproducing exact feature values months later, the way we handle features can …
ML Feature Management: A Practical Evolution Guide Read More »
Research Published 28 July 2023 Authors Yevgen Chebotar, Tianhe Yu Robotic Transformer 2 (RT-2) is a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control High-capacity vision-language models (VLMs) are trained on web-scale datasets, making these systems remarkably good at recognising visual …
RT-2: New model translates vision and language into action Read More »
Simple methods to replace cluttered bar charts with crisp, reader-friendly visuals. Photo by Steffen Petermann on Unsplash (a bubble’s added by me) Statue can be found in Weimar — Park an der Ilm (but Shakespeare obviously doesn’t speak) Welcome to the ninth post in my “Plotly with code” series! If you missed the first one, …
Technologies Published 29 August 2023 Authors Sven Gowal, Pushmeet Kohli New tool helps watermark and identify synthetic images created by Imagen AI-generated images are becoming more popular every day. But how can we better identify them, especially when they look so realistic? Today, in partnership with Google Cloud, we’re launching a beta version of SynthID, …
The first (and most important) step of any fine-tuning process is data collection. Here, I extracted title-thumbnail pairs from my channel in a 2-step process. First, I used YouTube’s search API to extract the video IDs for all the videos on my channel. Second, I used YouTube’s video API to extract the title and thumbnail …
Fine-tuning Multimodal Embedding Models | by Shaw Talebi Read More »
Research Published 19 September 2023 Authors Žiga Avsec and Jun Cheng New AI tool classifies the effects of 71 million ‘missense’ mutations Uncovering the root causes of disease is one of the greatest challenges in human genetics. With millions of possible mutations and limited experimental data, it’s largely still a mystery which ones could give …
A catalogue of genetic mutations to help pinpoint the cause of diseases Read More »
10 books with valuable insights about AI science and engineering Great books for AI Engineering — Plus ‘Brave New Words’ (Image is Author’s own work) A few years ago I recommended 21 books in Great Books for Data Science and Great Books for Data Science 2. Since then a lot has changed. While data scientist …
