Grokking in Large Language Models: Concepts, Models, and Applications
Basic Concepts and Historical Background Definition of Grokking: Grokking refers to a surprising phenomenon of delayed generalization in neural network training. A model will perfectly fit the training data (near-100% training accuracy) yet remain at chance-level on the test set…
Video To Blog
- Academic , LLM
- July 8, 2025
- 763 views
Why AI Gets “Lost” in Multi-Turn Conversations: Causes and Solutions Explained
Have you ever had an extended conversation with an AI, only to feel like it’s getting confused or stubbornly refusing to adjust its answers? Maybe you noticed it going in circles or giving inconsistent responses as the chat went on.…
Potemkin Understanding in AI: Illusions of Comprehension in Large Language Models
Executive Summary Figure: A newly painted façade of a building in Kolín, Czech Republic conceals the decayed structure behind it. The term “Potemkin” originates from such facades that create an illusion of substance – a fitting metaphor for AI systems…
ChatGPT
- Academic , Creativity
- June 15, 2025
- 671 views
Physics of Intelligence: A Physics-Based Approach to Understanding AI and the Brain
Dr. Hidenori Tanaka’s “Physics of Intelligence” project (also called the Physics of Artificial Intelligence) is an ambitious research initiative aiming to apply concepts from physics – such as symmetry, conservation laws, and phase transitions – to the study of intelligence…
- Academic , LLM , Reasoning
- April 1, 2025
- 888 views
Exploring DeepSeek: The Future of Inference Learning through Reinforcement Learning
Welcome to an insightful discussion on the DeepSeek paper, where we dive into the intricacies of inference learning and its promising future through reinforcement learning. Join me as we uncover the academic value of DeepSeek and how it addresses the…
- Academic , Generative AI
- December 5, 2024
- 1162 views
Generative Artificial Intelligence: A Systematic Review and Applications
Source: https://link.springer.com/article/10.1007/s11042-024-20016-1?utm_source=chatgpt.com The paper titled “Generative Artificial Intelligence: A Systematic Review and Applications” by Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, and Fiona Carroll, published in August 2024, provides a comprehensive overview of the advancements and applications of generative…
Top AI Research Papers 2024
Source: https://www.topbots.com/ai-research-papers-2024/ The article “Advancing AI in 2024: Highlights from 10 Groundbreaking Research Papers” from TOPBOTS discusses ten significant AI research papers that have expanded the frontiers of artificial intelligence across various domains. These studies, produced by leading research labs…
EditorThe Geometry of Concepts: Sparse Autoencoder Feature Structure
Yuxiao Li, Eric J. Michaud, David D. Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark Sparse autoencoders have recently produced dictionaries of high-dimensional vectors corresponding to the universe of concepts represented by large language models. We find that this concept universe has interesting structure at three…
