Archives de catégorie : Non classé

Insights and Innovations from the Advent of GenAI Hackathon with Rahul Unnikrishnan Nair, Architect in Applied AI and Engineering Lead at Intel® Liftoff for Startups, and Daniel Whitenack, the founder of Prediction Guard

This year, Intel Labs presents 31 papers at NeurIPS, including 12 at the main conference. Contributions include training encoding models that can transfer across fMRI responses to stories and movies, a scalable framework for automatic generation of counterfactual examples using … Continuer la lecture →

Open-source LLMs Falcon-7B and Zephyr-7B for building your own conversational AI system

Intel uses supervised fine-tuning to produce a leading small LLM for commercial chatbot deployment

Model pruning is arguably one of the oldest methods of deep neural networks (DNN) model size reduction that dates to the 90s, and quite stunningly, is still a very active area of research in the AI community. Pruning in a … Continuer la lecture →

Training a single generic model for solving arbitrary datasets is always a dream for ML researchers, especially in the era of foundation models. While such dreams have been realized in perception domains like images or natural languages, whether they can … Continuer la lecture →

An easy path to access AI with Intel Developer Cloud

Intel Liftoff member Bilic utilizes an Intel-powered fraud-predicting AI model as a secret weapon to counteract deceptive schemes and safeguard retailers’ profits, reputations, and customers’ finances during the holiday season’s heightened risk of fraudulent activity.

Intel® Liftoff for AI Startups member, Prediction Guard, a startup enabling companies to deploy trustworthy Large Language Model (LLM) solutions, has deployed private, secure LLMs on Intel’s Developer Cloud to help e-commerce companies overcome these challenges.

Moonshot, a participant in the Intel Liftoff for Startups program, took on the challenge of the hackathon, creating autonomous LLMs to accurately predict future signals, utilizing processing power for applications like skin cancer prediction, DNA sequencing, and space research.