Archives de catégorie : Non classé

More detail behind the training course and certification program announcement.

Fraud detection challenges: how Intel’s tools & optimizations can help implement enhanced solutions

In the new era of LLMs and genAI nothing is more important than good data, and Weaviate, an Intel Liftoff member, has the unique ability to bring structure to data and gather premium insights. Traditional search engines often rely on … Continuer la lecture →

Discover the groundbreaking technology behind Argilla, a trailblazing startup revolutionizing NLP. Proud member of Intel® Liftoff for Startups, Argilla’s journey from core consultancy to open-source innovation has captivated the tech world since 2017. Stay tuned for more on their remarkable … Continuer la lecture →

Beewant is a deep-tech startup and a member of Intel® Liftoff that has its roots in data management and annotation. Spurred by the genAI revolution, they have created a multimodal AI platform that enables enterprises to aggregate, process, and interact … Continuer la lecture →

oneAPI DevSummit for AI 2023: Efficient Inference and Training of Large Neural Network Models

Many retailers operating brick-and-mortar stores are focused on creating convenient, frictionless shopping experiences while also improving their operational efficiency.   With competition from online shopping and ongoing challenges such as loss prevention, stores are finding that advancing computer vision, AI, and … Continuer la lecture →

Developer Spotlight: Sayan Malakar proposed an AI solution for food sales prediction

Optimum Habana  makes it easy to achieve fast training and inference of large language models (LLMs) on Habana Gaudi2 accelerators. In this blog, we will walk through the process of performing Low-Rank Adaptation (LoRA) training of Codegen , an open-source LLM for … Continuer la lecture →

Intel and Mila collaborated on FAENet, a new data-centric model paradigm that improves both modeling and compute efficiency across different types of materials modeling datasets.