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WAG (Web-Augmented Generation) for Not Quite Dummies

WAG (web-augmented generation) is quickly becoming an essential part of modern AI systems. WAG allows large language models, such as GPT and Llama, to supplement their core knowledge with additional information by searching the web. This is especially useful when a large language model (LLM) needs recent information, such as a company stock price or a sports score.

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RAG (Retrieval-Augmented Generation) for Not-Quite-Dummies

We try to split the difference between being too technical (for an engineering audience) or too fluffy (for an audience without any technical background whatsoever).

Pros and Cons of Running a Large Language Model Locally

Pure AI editors outline when to run LLMs locally vs. in the cloud -- local can lower usage cost, improve reliability, and keep data on-prem, but demands hardware spend, in-house expertise, and accepts model/feature limits; many scenarios benefit from a hybrid approach.

Using AI To Talk to All Your Data: Promethium

How an agent-powered data fabric can give enterprises real-time, self-service access to all their data, without breaking their stack.

Fueling the Real-Time App Revolution with AI: Vantiq

Harnessing data the moment it's created can mean the difference between missing an opportunity and seizing it.

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Why Orgs Choose OpenAI for AI -- And Why that Could Change in an Instant

Why companies overwhelmingly choose OpenAI for AI work today--and why a shift to competitors like Google, Meta or Anthropic could happen fast, according to AI expert Dr. James McCaffrey.

Turning Data Lakes into AI-Native Knowledge Engines: Dremio

Get ready for the lakehouse evolution into an AI-native platform that thinks, learns and scales alongside data analysts.

AI-Driven Security for Hybrid Networks: AlgoSec

With AI-driven, application-centric management across hybrid environments, it's a new era in network security.

Your Attention Please: Understanding AI Attention

A clear, mid-level explainer of the Attention mechanism at the heart of AI models like GPT for technical professionals who want to understand how models process input.

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How Reinforcement Learning Is Used by Large Language Models and Why You Should Care

Reinforcement learning is key to how LLMs like ChatGPT improve and avoid mistakes -- but it also introduces potential bias. We break down how it works and why understanding it matters for anyone using or building with AI.

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