Le projet THINK

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 be reproduced in reasoning domains (like graphs) remains an open challenge.

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.

Prediction Guard, member of the Intel® Liftoff for Startups program, is hosting a generative AI hackathon with the support of the Liftoff team.

Intel® Developer Cloud and Intel® Liftoff Program contributed to Cal Hacks 10.0 AI hackathon.

GenAI Architecture Shifting from RAG Toward Interpretive Retrieval-Centric Generation (RCG) Models

In a recent panel discussion on AI deployment, Intel Liftoff members and startup leaders addressed challenges, emphasizing Intel’s pivotal role in realizing the vision of « AI everywhere. »

Speed up generative AI workloads with DirectML and Intel Arc GPUs with the latest driver