How the father of AI envisioned machines with common sense reasoning 65 years ago Abstract This comprehensive review analyzes John McCarthy's groundbreaking 1959 paper "Programs with Common Sense", examining the revolutionary Advice Taker system, de...
Abstract This post summarizes Alan Turing's seminal paper on "thinking machines," the origins of the Imitation Game (now known as the Turing Test), the nine major objections to machine intelligence, and my own reflections on these arguments. I also b...
This paper by Orgad et al. delves into the internal workings of Large Language Models (LLMs) to understand how errors, often termed "hallucinations," are represented. Moving beyond purely external, behavioral analyses, the authors use probing techniq...
Anthropic's paper investigating the "faithfulness" of Chain-of-Thought (CoT) reasoning in Large Language Models (LLMs) enters a critical discourse on AI capabilities and safety. CoT is often presented as offering transparency into model processing. T...
Lujain Ibrahim and Myra Cheng's position paper addresses a critical and growing trend in Artificial Intelligence: the pervasive use of human characteristics and analogies – anthropomorphism – to describe and develop Large Language Models (LLMs). The ...
🚀 Introduction In my journey through the ever-evolving world of AI, I often find myself questioning the building blocks of how machines "understand" language. Most Large Language Models (LLMs) operate at the token level — predicting the next word in...
Over the last year, Retrieval-Augmented Generation (RAG) has evolved from a promising research concept to a core component in LLM products. The idea is appealing: instead of making language models memorise everything in their head, we provide context...
Research papers are the cornerstone of academia, advancing our understanding across disciplines. Yet, for many, reading them can feel like navigating a maze. Thankfully, S. Keshav's Three-Pass Approach provides a structured and efficient method for t...
notes based on the paper https://stanford.edu/~rezab/papers/wtf_overview.pdf 1. Personalized PageRank This algorithm starts from a specific user and spreads out like water flowing through a network. It assigns higher importance to nearby users (close...
Whether to write a review paper or a research paper after conducting a comparative analysis in Machine Learning (ML) and Artificial Intelligence (AI) depends on the scope, depth, and originality of your findings. Here are the distinctions and conside...
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