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Today MLCommons® published industry results for their AI training v2.1 benchmark that contained an impressive number of submissions, with over 100 results from a wide array of industry suppliers, with roughly 90% of the entries for commercially available systems, ~10% … Continuer la lecture →

Deploy Models Faster Best Practices: Learn about AI reference kits

One of the key challenges in Large Language Model (LLM) training is reducing the memory requirements needed for training without sacrificing compute/communication efficiency and model accuracy.  DeepSpeed [2] is a popular deep learning software library which facilitates memory-efficient training of large language … Continuer la lecture →

Innovation 2022 AI Track: “Achieving efficient, productive and good quality End-to-End AI Pipelines”

Wei Li talks AI Everywhere with Ronald van Loon at World Summit AI

Every year people become lost or injured far from the trappings of civilization, and search and rescue can prove challenging due to harsh terrain and weather. That’s where leading-edge technology may help to turn the odds.

In this tutorial, we will demonstrate fine tuning a GPT2 model on Habana Gaudi AI processors using Hugging Face optimum-habana library with DeepSpeed.

Evaluating AI deployments and machine learning based on overall energy usage instead of just processing power is a new idea. It’s so new that there is no standard metric currently. Each section of the ML pipeline consumes an enormous amount … Continuer la lecture →

Published October 25th, 2022 Image credit: Local_doctor via Adobe Stock. Gadi Singer is Vice President and Director of Emergent AI Research at Intel Labs leading the development of the third wave of AI capabilities.   Avoiding Combinatorial Explosions in What-if Scenarios Involving Multiple People or … Continuer la lecture →

Intel Labs proposes a novel video representation method based on sparse spatio-temporal graphs which leads to context aggregation over 10X longer timeframes.