All that is under the Sun
Imagine you are a detective at the scene of a very peculiar crime. The victim? A once-vibrant houseplant, now droopy and sad. Your suspects? A cast of environmental characters: the amount of sunlight it received, the quantity of water it was given, the type of soil it’s planted in, and the music played in the …
The Art of Choosing One From Many: Categorical Cross-Entropy and the AI’s Grand Decision Imagine you’re a librarian training a new assistant. This isn’t just any library; it has 50,000 different sections. You hand the assistant a book and ask, “Where does this go?” The assistant, being new, doesn’t just point to one section. Instead, …
Imagine you’re teaching an archery student. They loose an arrow, and it thuds into the target, a little off-center. You wouldn’t just say, “You missed.” To be a good teacher, you need to know how much they missed by. Was it a near-perfect shot, just a hair’s breadth from the bullseye? Or did it land …
“If probability is the language of uncertainty, a PMF is its grammar: crisp, discrete, and occasionally punch‑line worthy.” Picture this: You open your favorite generative‑AI app, type “Write me a haiku about mangoes,” and in less time than it takes to blink, a tiny digital poet complies. What sorcery decides which 17 syllables appear? Beneath …
We constantly hear about AI’s incredible feats: identifying cats in photos better than your cousin Kevin, translating languages on the fly, even spotting diseases on medical scans. AI models, especially those powered by Deep Learning, are phenomenal classifiers. They can look at data and yell “CAT!” or “SPAM!” or “POTENTIAL TUMOR!” with astonishing accuracy. But …
Alright folks, settle in! We’re about to embark on a journey into a field that feels a bit like magic, a bit like programming, and sometimes, a bit like trying to teach a super-intelligent alien how to make a sandwich using only interpretive dance. Welcome to the wild, rapidly evolving world of Prompt Engineering! Prompt …