Measuring Brilliance in Generative AI: Perplexity, Precision, and Faithfulness

We unpack how to evaluate AI that writes and creates, not just predicts. Why perplexity captures surprise, why a low perplexity score isn’t a guarantee of correctness, and how precision, recall, and the harmonic F1 balance model performance. We compare BLEU and ROUGE, explore Retrieval-Augmented Generation to stay faithful to private data, and discuss out-of-domain challenges, agentic AI, and the guardrails shaping the future.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

Sponsored by Embersilk LLC