How do we move from language models that just answer prompts to systems that can reason about millions of token contexts, understand real-world signals, and reliably act as agents on our behalf? Google just...
In my last video, I talked about how advertisers waste too much time worrying about the “how” – all the things that represent the mechanics of advertising. They focus too much on all...
How to build an open model reliably Understand text, images, audio and video while still functioning efficiently? Introduction to the research team of Harbin Institute of Technology Shenzhen Branch Uni-MoE-2.0-Omnia fully open, omnimodal large-scale...
Binary Cross Entropy (BCE) is the default loss function for binary classification, but it fails severely on imbalanced data sets. The reasons are subtle but important: BCE measures the errors of both classes equallyeven...
My favorite feature of Meta Ads Manager is comparing attribution settings. It helps troubleshoot problems, expose misleading results, and reveal impacts that default reporting cannot provide. The problem is that not enough advertisers...
Google DeepMind research launched Next weather 2, A medium-term global weather forecast system based on artificial intelligence, now supports upgraded forecasts in Google Search, Gemini, Pixel Weather and the Google Maps platform’s weather API,...
Reinforcement learning RL for large language model LLM agents looks attractive on paper, but in practice it is undermined by cost, infrastructure, and reward noise. Training an agent to click on a web page...
In this tutorial we implement an advanced Otuna Systematically explore workflows for pruning, multi-objective optimization, custom callbacks, and rich visualizations. Through each snippet, we can see how Optuna helps us shape smarter search spaces,...
Google DeepMind released SIMA 2 to test how far generalist concrete agents can go in complex 3D game worlds. The new version of SIMA (Scalable Instructable Multiworld Agent) upgrades the original instruction follower to...
In this part of the interview series, we’ll look at some common security vulnerabilities in the Model Context Protocol (MCP), a framework designed to allow LLMs to interact securely with external tools and data...