A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL ...

Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...

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

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...