Le projet THINK

Learn how AI is transforming enterprise efficiency at Intel® Vision 2025. Intel® Liftoff members, TurinTech and Kamiwaza will be showcasing their solutions. Find out more!

Best practices that developers should consider while fine-tuning and self-hosting in their AI projects.

AI-powered brain image analysis solution built by Intel Student Ambassadors

Intel’s latest addition to the Trust Services portfolio is a new benchmark in endpoint security.

Discover how Argilla empowers AI engineers and domain experts to collaborate seamlessly, transforming raw data into high-quality insights for smarter AI solutions.

Rethinking AI Alignment and Safety in the Age of Deep Scheming

The first post in this series introduced vector search, its relevance in today’s world, and the important metrics used to characterize it. We can achieve dramatic gains in vector search systems by improving their internal vector representations, as the majority of the search runtime is spent bringing vectors from memory to compute their similarity with the query. The focus of this post, Locally-adaptive Vector Quantization (LVQ), accelerates the search, lowers the memory footprint, and preserves the efficiency of the similarity computation.

Discover how dstack’s integration with Intel® Gaudi® AI accelerators enhances AI workflow efficiency, reduces costs, and accelerates scalable model deployment across cloud and on-prem environments.