Discover the differences between keyword, vector, and hybrid search systems. Learn how to optimize search performance with ...

By implementing strategies such as fine-tuning smaller models and real-time AI cost monitoring, financial institutions can ...

Vast Data doesn’t chunk files in memory but uses an exabyte-scale solid-state disk fabric to deliver “millisecond latency at ...

Enhance RAG pipelines with DeepSeek R1 for precise, context-aware responses. Learn how to build a robust knowledge base and ...

But wait, actually, no. The mother’s contribution is independent of the child’s sex. The child’s sex is determined by the ...

Why Norstellla, Makersite, Satelytics, and Chainalysis are among Fast Company's Most Innovative Companies in data science for 2025.

As generative AI begins helping solve real-world problems, a new kind of data analytics is emerging, says Jonathan Frankle.

As AI and large language models (LLMs ... search engines now use vector embeddings – a technique that maps words, phrases, and even images into multi-dimensional space based on their meaning ...

The 1.5B-parameter Qodo-Embed-1-1.5B is available on Hugging Face under the OpenRAIL++-M license, allowing developers to integrate it freely ...

High-performance open-source vector database Qdrant has added new enterprise-level security and management tools to its cloud offering, allowing companies to deploy and scale up artificial ...

For years, search engines and databases relied on essential keyword matching, often leading to fragmented and context-lacking results. The introduction of generative AI and the emergence of ...

Computer scientists have developed a powerful machine learning model that can detect toxic social media comments with ...