All that is under the Sun
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 trying to teach a machine the difference between a cat and a dog. You show it a picture of a cat, and it says, with 90% confidence, “That’s a cat.” Great! Now you show it a dog, and it says, with 60% confidence, “That’s a cat.” Not so great. The second guess is …
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 …
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 …
Dive deep into Retrieval-Augmented Generation (RAG) models. Understand their architecture, implementation with LlamaIndex, and diverse applications Picture this: a computer that can write like a person, but with the superpower of reading through a whole library in seconds to give the best answers possible. Welcome to the world of Retrieval-Augmented Generation or RAG for short. …