Markov Chains: The Original Language Models Markov chains represent the foundational approach to language modeling that predates modern LLMs by decades. Understanding their mechanics reveals both the evolution of text …
The Bitter Lesson: Why Computational Scale Beats Human Knowledge in AI Seventy years of AI research reveals a fundamental truth: general computational methods ultimately outperform approaches based on human knowledge. …
Building ChatGPT: A Comprehensive Guide to Large Language Models When you type a question into ChatGPT and press enter, what exactly happens behind that text box? This guide takes you through the entire pipeline of how …
Defeasibility in Answer Set Programs with Defaults and Argumentation Rules Defeasible reasoning allows logical axioms to be true “by default” while permitting other conflicting axioms to undercut or negate …
Logic Programming with Defaults and Argumentation Theories: A Unified Framework for Defeasible Reasoning Logic programming faces a fundamental challenge: default negation, while powerful for common-sense reasoning, …
Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings Google introduces EmbeddingGemma, a 308 million parameter open embedding model that delivers state-of-the-art performance for on-device AI …
