"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
The core challenges of semantic erosion and the intent compression paradox that LLMs face, and how developers address these ...
Our draft article shows that corpus linguistics delivers where LLM AI tools fall short—in producing nuanced linguistic data instead of bare, artificial conclusions. Modern textualism is built on at ...
In our previous four posts we've argued that LLM AIs should not be in the driver's seat of ordinary meaning inquiries. In so stating, we don't deny that AI tools have certain advantages over most ...
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 a recently posted research study ...
While most countries’ lawmakers are still discussing how to put guardrails around artificial intelligence, the European Union is ahead of the pack, having passed a risk-based framework for regulating ...
Perplexity published a practical guide to LLM gateways on October 27, 2026, walking engineering teams through how the ...
Retrieval-augmented generation (RAG) is an AI framework that retrieves data from external sources of knowledge to improve the quality of responses. This natural language processing (NLP) technique is ...
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 tackle a quite vexing problem facing the ...