Author: AI Generated Robotic Content

Large Language Model or LLM inference has two phases, the prompt (or prefill) phase to output the first token and the extension (or decoding) phase to the generate subsequent tokens. In this work, we propose an efficient parallelization scheme, KV-Runahead to accelerate the prompt phase. The key observation is that the extension phase generates tokens …

Read more “KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation”

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). However, businesses scaling AI face entry barriers. Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. According to International Data Corporation (IDC), stored data is set to increase by …

Read more “The power of remote engine execution for ETL/ELT data pipelines”

A collaboration between NVIDIA and academic researchers is prepping robots for surgery. ORBIT-Surgical — developed by researchers from the University of Toronto, UC Berkeley, ETH Zurich, Georgia Tech and NVIDIA — is a simulation framework to train robots that could augment the skills of surgical teams while reducing surgeons’ cognitive load. It supports more than …

Read more “Needle-Moving AI Research Trains Surgical Robots in Simulation”

Image generated with Midjourney. In a groundbreaking move, OpenAI has unveiled GPT-4o, a revolutionary model that marks a significant leap towards more natural and fluid human-computer interactions. The “o” in GPT-4o stands for “omni,” underscoring its unprecedented ability to handle text, audio, and visual inputs and outputs seamlessly. The Unveiling of GPT-4o OpenAI’s GPT-4o is …

Read more “OpenAI Created Her: The Birth of GPT-4o”

We’re introducing a series of updates across the Gemini family of models, including the new 1.5 Flash, our lightweight model for speed and efficiency, and Project Astra, our vision for the future of AI assistants.