After reaching $1 billion in annualized revenue, Anysphere CEO Michael Truell explained the features his company is focused on building out.
Large language models generate text, not structured data.
Artificial intelligence is changing the way businesses store and access their data. That’s because traditional data storage systems were designed to handle simple commands from a handful of users at once, whereas today, AI systems with millions of agents need to continuously access and process large amounts of data in parallel. Traditional data storage systems now have layers of complexity, which slows AI systems down because data must pass through multiple tiers before reaching the graphical processing units […]
This Thanksgiving, I give thanks for something our forebears gave us: property rights.
In the past, users had to upload a full-body picture of themselves to virtually try on a piece of clothing. Now, they can use a selfie and Nano Banana will generate a full body digital version of them.
A pregnant woman in San Francisco gave birth inside a Waymo robotaxi Monday night en route to UCSF Medical Center, marking the latest milestone in the driverless car saga that no one saw coming — except everyone with more than six months of experience behind the wheel of a ride-share vehicle.
Google is testing AI-powered article overviews on participating publications’ Google News pages as part of a new pilot program, the search giant announced on Wednesday. News publishers participating in the pilot program include Der Spiegel, El País, Folha, Infobae, Kompas, The Guardian, The Times of India, The Washington Examiner, and The Washington Post, among others. […]
Home Table of Contents KV Cache Optimization via Tensor Product Attention Challenges with Grouped Query and Multi-Head Latent Attention Multi-Head Attention (MHA) Grouped Query Attention (GQA) Multi-Head Latent Attention (MLA) Tensor Product Attention (TPA) TPA: Tensor Decomposition of Q, K, V Latent Factor Maps and Efficient Implementation Attention Computation and RoPE Integration KV Caching and Memory Reduction with TPA PyTorch Implementation of Tensor Product Attention (TPA) Tensor Product Attention with KV Caching Transformer Block Inferencing Code Experimentation Summary […]
Reducing total cost of ownership (TCO) is a topic familiar to all enterprise executives and stakeholders. Here, I discuss optimization strategies in the context of AI adoption. Whether you build in-house solutions, or purchase products from AI vendors. The focus is on LLM products, featuring new trends in Enterprise AI to boost ROI. Besides the technological aspects, I also discuss the human aspects. I discussed the topic at a recent webinar. You can watch the recording, here. What is […]
You can now use Circle to Search and Google Lens to detect scammy messages you receive on your phone.