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.
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I’ve had the opportunity recently to be involved with a program called Skype a Scientist, which pairs scientists of various types (biologists, botanists, engineers, computer scientists, etc) with classrooms of kids to talk about our work and answer their questions. I’m pretty familiar with discussing AI and machine learning with adult audiences, but this is the …
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 …
“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”. …
From FOMO to Opportunity: Analytical AI in the Era of LLM Agents Read More »
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, …
How our principles helped define AlphaFold’s release Read More »
Transformers have changed the way artificial intelligence works, especially in understanding language and learning from data. At the core of these models are tensors (a generalized type of mathematical matrices that help process information) . As data moves through the different parts of a Transformer, these tensors are subject to different transformations that help the …
Behind the Magic: How Tensors Drive Transformers Read More »
Impact Published 21 September 2022 AlphaFold predictions are paving the way towards new treatments that can impact over 10 million people worldwide It was a source of hard-earned satisfaction after what had often felt like an uphill battle. David Komander and his colleagues had finally published the long-sought structure of PINK1. Mutations in the gene …
whether GenAI is just hype or external noise. I also thought this was hype, and I could sit this one out until the dust cleared. Oh, boy, was I wrong. GenAI has real-world applications. It also generates revenue for companies, so we expect companies to invest heavily in research. Every time a technology disrupts something, …
A Step-By-Step Guide To Powering Your Application With LLMs Read More »
Music AI Sandbox was developed by Adam Roberts, Amy Stuart, Ari Troper, Beat Gfeller, Chris Deaner, Chris Reardon, Colin McArdell, DY Kim, Ethan Manilow, Felix Riedel, George Brower, Hema Manickavasagam, Jeff Chang, Jesse Engel, Michael Chang, Moon Park, Pawel Wluka, Reed Enger, Ross Cairns, Sage Stevens, Tom Jenkins, Tom Hume and Yotam Mann. Additional contributions …
Music AI Sandbox, now with new features and broader access Read More »
Computing (HPC) environments, especially in research and educational institutions, restrict communications to outbound TCP connections. Running a simple command-line ping or curl with the MLflow tracking URL on the HPC bash shell to check packet transfer can be successful. However, communication fails and times out while running jobs on nodes. This makes it impossible to …
Exporting MLflow Experiments from Restricted HPC Systems Read More »
Research Published 22 September 2022 Authors The Sparrow team Training an AI to communicate in a way that’s more helpful, correct, and harmless In recent years, large language models (LLMs) have achieved success at a range of tasks such as question answering, summarisation, and dialogue. Dialogue is a particularly interesting task because it features flexible …
Building safer dialogue agents – Google DeepMind Read More »
