Definition
Zero-shot learning
When a model handles a task or category it was never explicitly trained on, using only its general knowledge.
Learn the language of AI-native founders
Every week: the new terms, tools, and workflows founders are using, straight from the podcast.
Related terms in AI Fundamentals
Vertical AIAI built deeply for one specific domain or industry rather than for general use.Vertical AI IntegrationAI tools built specifically for a defined industry or workflow rather than the general public. Stronger retention because they solve a specific, repeated pain point deeply.Vibe CheckBurak's informal but effective method for evaluating AI model quality - connecting a candidate model to real data and assessing whether it 'feels' smarter: better analysis, better question interpretation, more proactive suggestions.ViT (Vision Transformer)A transformer adapted to work with images by splitting each picture into patches and treating them like words.WeightsThe numbers inside a neural network that set the strength of connections between neurons and determine how it processes input.Word error rateThe percentage of words a speech-to-text system gets wrong.World modelAn AI system that simulates physical reality with enough fidelity to predict outcomes. Higgins points to these as the road to insuring robots.Zero Data RetentionA data policy under which LLM providers do not store or train on user inputs. A table-stakes requirement for any legal AI handling privileged client communications.