Free for the viewing
Implicit Bias in Generative AI
Collecting Names in a Voicebot
AI: The Coming Revolution
External link, opens in a new tab. Written from the perspective of an investment firm, but contains insights applicable to many industry verticals
LLMs Machine Learning, and Food! (When AI Gets Tasty)
External link, opens in a new tab. Interesting, informative article on use of AI in fast-food ordering and delivery.
What Are Large Language Model (LLM) Agents and Autonomous Agents?
External link, opens in a new tab. LLM-based Agents, and Autonomous Agents, have long since transcended their humble origins. This article explains how and why — and why they might be just the thing your company needs.
What is Retrieval-Augmented Generation (RAG)?
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The RAG framework augments AI’s Large Language Models in ways that can help reduce or eliminate outdated information, hallucinations, and other challenges inherent to LLMs. This video does an excellent job of explaining it in easy-to-understand language and visuals.
Hallucinations
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Hallucinations — plausible but incorrect responses — are the bane of LLM-based AI engines. Because they pull information from the LLM used to train them, and then assemble it into a response without checking its veracity or citing the source, the information may be quite believable….but quite wrong. This video explain how and why it happens, and how to reduce the likelihood.
Brain Waves Synchronize When People Interact
External link, opens in a new tab.
Recommended reading (but it’s not free…)
How We Talk: The Inner Workings of Conversation
Talk: The Science of Conversation
