LLM Accuracy Benchmarks

TL;DR

A reality check on whether these spicy autocomplete engines are actually lying to your face or just hallucinating with confidence.

Who is this actually for?

Developers and PMs tired of their LLM-powered features outputting total garbage in production.

The Good

• Cuts through the hype and marketing fluff from OpenAI and xAI.
• Crowdsourced skepticism is often more reliable than a corporate whitepaper.

The Catch (Potential Downsides)

Accuracy is a moving target; what is true for GPT-4 today won't be true next Tuesday. Subjective feelings about accuracy are basically useless without hard evals.