Learning to Reason - Insights from Language Modeling
Explore the fascinating intersection of language modeling and reasoning processes through Stanford researcher Noah Goodman's insightful analysis of cognitive learning mechanisms.
Les biais cognitifs : méfiez-vous de votre cerveau
Découvrez comment notre cerveau nous trompe avec les biais cognitifs, héritage de notre évolution. Apprenez à reconnaître ces erreurs de jugement pour mieux raisonner et prendre des décisions éclairées.
Computational Models of Human Cognition - Part 2
Explore advanced computational methods in cognitive science, covering perception, memory, language, and reasoning. Gain insights into modeling human cognition and intelligence.
Computational Models of Human Cognition - Part 1
Explore computational methods in cognitive science, covering perception, memory, language, and reasoning. Gain insights into modeling human cognition through advanced techniques.
Model-Based Reasoning in Neurosymbolic Programming for Science
Explore model-based reasoning techniques and their applications in neurosymbolic programming for scientific problem-solving.
Emergence and Reasoning in Large Language Models
Explore emergence and reasoning in large language models with Google researcher Jason Wei, delving into self-supervised statistical models and their implications.
Why Does Maths Give Humans the Edge Over Machines? - With Junaid Mubeen
Exploring human mathematical intelligence and its advantages over machines, highlighting reasoning, imagination, and questioning as key principles that give humans an edge in problem-solving.
How to Think Like a Mathematician - Applying Logic to Real-World Situations
Discover how mathematical thinking can enhance clarity in everyday situations, from fake news to privilege, using logic and precise reasoning to navigate complex issues.
OpenAI O1 Preview: Understanding AI Reasoning Models and Chain of Thought
Explore OpenAI's groundbreaking o1 preview model and its advanced reasoning capabilities for solving complex puzzles, mathematical problems, and coding challenges through detailed examples and practical applications.
Self-Harmonized Chain of Thought (ECHO) - Understanding Complex Reasoning in Language Models
Explore the innovative ECHO method for enhancing language model reasoning through iterative refinement, clustering, and cross-validation techniques to achieve more accurate and consistent solutions.
Inside the Black Box of AI Reasoning - Understanding LLM Knowledge and Complex Problem-Solving
Delve into groundbreaking research exploring how AI models process complex reasoning tasks, using novel graph-based frameworks to analyze knowledge integration and problem-solving capabilities.
Five Strategies to Enhance LLM Reasoning Capabilities - From Chain to Hybrid-Graph Abstraction
Discover five powerful strategies to enhance LLM reasoning capabilities, from Chain-of-Thoughts to Hybrid-Graph-Abstraction, using practical traffic system optimization examples.
AI Phone: From Voice Assistants to Advanced AI Integration and Reasoning
Explore the revolutionary concept of AI Phone technology, from LLM quantization to advanced reasoning systems, and discover how AI-centric devices could transform mobile computing and human interaction.
Evaluating LLMs as AI Reasoning Agents - A Performance Comparison Study
Explore how different LLMs perform as AI agents in real-world tasks, comparing their effectiveness in database interactions, web bookings, and online product comparisons.
Testing Starcoder for Reasoning with PAL
Explore StarCoder's reasoning capabilities and compatibility with PAL Chain in LangChain through demonstrations, code examples, and practical tests.
Advanced NLP: Prompting and Complex Reasoning - Lecture 7
Explore advanced NLP techniques including prompting methods, sequence-to-sequence pre-training, and complex reasoning strategies for enhanced language model performance.
Learn to Spell - Prompt Engineering
Explore intuitions and techniques for effective prompt engineering, including decomposition, reasoning, and reflection, to unlock the full potential of language models.
Differentiable Associative Memories, Attention, and Transformers
Explore differentiable associative memories, attention mechanisms, and transformers. Learn about energy minimization, planning, and various transformer applications in machine learning and AI.
AI: A Return to Meaning - From Theory-Driven to Data-Driven Approaches
Explore AI's evolution from theory-driven to data-driven approaches, examining Watson's development and the future of machine learning, reasoning, and natural language understanding.
Reasoning Algorithmically- From Toy Experiments to AGI Modules
Explore neural networks' potential in algorithmic computation, from toy experiments to groundbreaking applications in mathematics and AI reasoning, with insights on their transformative impact on machine learning and computer science.
Neuro Symbolic AI
Explore Neuro Symbolic AI with Dr. Amit Sheth, delving into cutting-edge concepts and applications in this emerging field of artificial intelligence.