wab
wab — yIlaD.
{study notes}
- {AI Fluency Framework} - qapla'! Humanpu' competencies je machine properties together work. One system they are!
- Generative AI - four core properties has: Next Token Prediction, knowledge, working memory, steerability. These properties stable remain, even models improve when.
- Course structure - What AI is, how trained it is, what properties it has, real situations where properties collide, safe/effective/ethical use. This path we follow!
- {Next Token Prediction} - fundamental property this is. AI word next predict can, but perfect never is. Understand this, you must!
- Knowledge, working memory, steerability - properties these AI define. Limited they are, but powerful when understood correctly.
- Material durable - boundaries shift, but core properties remain! This why this course valuable stays as {models} change.
- Exercise foundation - tasks four to six list, rework needed or first try landed? Claude ask: "What wrong go could? " Failure modes understand, you will!
- Lesson reflection - safe tasks which? Risky which? AI behavior unexplained which? These questions answer, wisdom you gain!
{flashcards} 10 {cards}
{question}
yI'ang · ←/→
{answer}
{flip}
{knowledge check} 6 {questions}