that have pervaded nearly every facet of our daily lives are autoregressive decoder models. These models apply compute-heavy kernel operations to churn out tokens one by one in a manner that, at first glance, seems extremely inefficient. Given the enormous demand for generative AI, it is no surprise that extraordinary engineering effort is being invested …
Optimizing Token Generation in PyTorch Decoder Models Read More »
Image by Editor # Introducing MCP Standards succeed or fail based on adoption, not technical superiority. The Model Context Protocol (MCP) understood this from the start. Released by Anthropic in late 2024, MCP solved the straightforward problem of how artificial intelligence (AI) models should interact with external tools. The protocol’s design was simple enough to …
The MCP Revolution and the Search for Stable AI Use Cases Read More »
New audio verification capabilities All tracks generated in the Gemini app are embedded with SynthID, our imperceptible watermark for identifying Google AI-generated content. We are also giving you more tools to help identify AI content, broadening our verification capabilities in the Gemini app to include audio, along with image and video. Simply upload a file …
Use Lyria 3 to create music tracks in the Gemini app Read More »
AI is evolving rapidly, and software engineers no longer need to memorize syntax. However, thinking like an architect and understanding the technology that enables systems to run securely at scale is becoming increasingly valuable. I also want to reflect on being in my role a year now as an AI Solutions Engineer at Cisco. I …
Image by Author # How Colab Works Google Colab is an incredibly powerful tool for data science, machine learning, and Python development. This is because it removes the headache of local setup. However, one area that often confuses beginners and sometimes even intermediate users is file management. Where do files live? Why do they disappear? …
What’s next Since releasing Gemini 3 Pro in November, your feedback and the pace of progress have driven these rapid improvements. We are releasing 3.1 Pro in preview today to validate these updates and continue to make further advancements in areas such as ambitious agentic workflows before we make it generally available soon. Starting today, …
chain is a goal-oriented network of processes and stock points that delivers finished goods to stores. Imagine a luxury fashion retailer with a central distribution chain that delivers to stores worldwide (the USA, Asia-Pacific, and EMEA) from a warehouse located in France. Distribution Chain of a Fashion Retailer from a system point of view – (Image by Samir Saci) …
Image by Author # (Re-)Introducing Hugging Face By the end of this tutorial, you will learn and understand the importance of Hugging Face in modern machine learning, explore its ecosystem, and set up your local development environment to start your practical journey of learning machine learning. You will also learn how Hugging Face is free …
Collaborating with experts on 18 research problems, an advanced version of Gemini Deep Think helped resolve long-standing bottlenecks across algorithms, ML and combinatorial optimization, information theory, and economics. Highlights from our “Accelerating Research with Gemini” paper include (corresponding section numbers in paper): Crossing mathematical borders for network puzzles: Progress on classic computer science problems like …
Redefining the Future of Scientific Research — Google DeepMind Read More »
of the new things I’ve come across recently, while researching command-line-based coding assistants, is the mention and use of a tool I hadn’t heard of before. That tool is called Tmux, which stands for Terminal Multiplexer. In the simplest possible terms, Tmux allows you to split up a single terminal window into a number of …
A beginner’s guide to Tmux: a multitasking superpower for your terminal Read More »
