We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

Since the 2000s, Google Search—and later YouTube and Discover—served as the primary discovery and monetization engines for ...

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Roles that barely existed a few years ago, such as large language model (LLM) specialists, AI product leads and data pipeline ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...

Go fully offline with a private AI and RAG stack using n8n, Docker, Ollama, and Quadrant, so your personal, legal or medical files never leave your PC ...

We are currently witnessing a mobilization of technical ambition reminiscent of the Manhattan Project, a realization that data and compute are the new defining elements of national power. I am deeply ...