PinnedAllohvk·Oct 27The Road Less Travelled: Venturing beyond the NormalIntuition Behind Fat Tails, Student’s t, Mixture Models, and GMMsA response icon4A response icon4
PinnedInData Science CollectivebyAllohvk·Jul 12, 2025Probability distributions — A deeper lookIntuition, basic Math & application in models like Stable diffusion & GMM clustering
PinnedInData Science CollectivebyAllohvk·Jun 20, 2025The Engine of Uncertainty: Demystifying Random VariablesMaking sense of a Chaotic, Continuous WorldA response icon4A response icon4
PinnedAllohvk·Aug 21Probabilistic AI and the Art of Expressing IgnoranceFrom Overconfidence to Computational HumilityA response icon6A response icon6
Allohvk·Jun 29The Bomber, The Brinjal, and The Bot: A Bayesian TaleThe Surprising Intuition Behind Probabilistic AIA response icon2A response icon2
Allohvk·May 4Adventures in Claude Code landA Deep Dive into the Architecture & Components needed to Master Anthropic’s Coding AgentA response icon11A response icon11
InData Science CollectivebyAllohvk·Apr 13PPO — An appreciation without the apprehensionEasing into key RL concepts, algorithms — from Math to CodeA response icon2A response icon2
Allohvk·Mar 7The Exponential family explainedAn intuition in plain EnglishA response icon1A response icon1
InGoPenAIbyAllohvk·Feb 24Why Energy Based Models (EBMs) may replace today’s LLMsIntuition & applications of EBMs
InTowards AIbyAllohvk·Jan 27LLM Inference OptimizationKV Cache, Paged Attention, Flash Attention, Batching, MQA, GQA & Parallelism techniquesA response icon1A response icon1
