Tag: LLM

Human-style iteration gives LLMs a path to reliable AGI by pairing clear goals with self-measured loss functions.

After a year with Claude, Gemini, and ChatGPT deep research, ChatGPT consistently yields the most thoughtful and useful reports.

Hallucinations are inevitable for LLMs; it's a trade-off between false positives and false negatives. Improving models can make that trade-off less severe.

A practical guide to selecting LLM models and providers based on your product's specific needs and constraints.

Why Zillow lost $550M on predictions, finding founding employees, and how LLMs democratize enterprise AI.

Success in LLM applications comes from niche focus, speed to market, and cost optimization, not big funding or features.

As frontier model improvements slow down and trust increases, enterprises have a unique window to adopt LLMs without the risk of rapid obsolescence.

LLMs excel at making sense of messy, unstructured input. That shifts the burden of precision from people to systems. This capability unlocks massive opportunities in business.