Learning Generative AI is not the first step of learning Generative AI

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...

Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
TechAnnouncer

Discovering the Power of Generative AI: Real-World Examples and Innovations

Generative AI models are usually built on deep learning, where multi-layered neural networks scan through endless pieces of ...
JournalofAccountancy

Differentiating agentic and generative AI — and more with a Tech Q&A author

In this episode, Wesley Hartman, co‑author of the Journal of Accountancy’s Technology Q&A column, discusses how AI is reshaping work for accounting firms. He explains the difference between generative ...
Forbes

Squeezing The Juice Of LLM Neural Layers Promotes Greater Honesty And Could Be An AI Hallucination Antidote

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine some exciting research that could ...