Siriprolu·Sep 28Why ChatGPT “Guessing” a Multiple-Choice Answer Is Nothing Like It Writing You an EssayLog-likelihood scoring vs. generate_until
Priyanka Hajare·Jul 23A Bayesian Network (BN) is a probabilistic graphical model that represents a set of variables and…What it does ? helps to understand how AI agents reason under uncertainty using directed acyclic graphs and probability.A response icon2A response icon2
Mazen·Jul 3My Midnight Curiosity: What If Reality Is Not What We Think It Is?At midnight, I asked ChatGPT two questions that I honestly do not think anyone can answer with complete certainty.
InTowards AIbyChao De-Yu·Jun 2Statistics Concept — The Birthday Paradox: A Conditional Probability PerspectiveWhy shared birthdays emerge much earlier than intuition suggests — via conditional probability, interactions, and Monte Carlo simulation in…A response icon1A response icon1
Persis Tafflin·Apr 30The Logic of Uncertainty: How Bayesian Networks Power AI ReasoningIn this blog, we will break down what a Bayesian Network is, walk through a real medical example step by step.
Pascal Bercker·Mar 23The Lady Vanishes — Lost In BandrikaFrom 1000 exercises in Probability.A response icon1A response icon1
Pascal Bercker·Mar 22An Exercise In Conditional Probability — From 1000 Exercises In ProbabilityThis is not particularly difficult, but it’s important to pay attention to the sequence of events to get the model right. Let’s first get…A response icon1A response icon1
InTowards AIbyABHISHEK S M·Mar 15Next-Word Prediction: How Conditional Probability Turned Language into a Learning TaskLanguage can be studied from more than one direction.
