UofU Data Science Courses

Can LLMs Keep a Secret? - Privacy and Security in Large Language Models

Explore the critical aspects of privacy and security in Large Language Models through an in-depth analysis of their ability to protect sensitive information.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Detecting AI-Generated Content - Advances in Generative AI

Explore cutting-edge techniques for detecting AI-generated content, focusing on latest methodologies, challenges, and practical applications in content authentication and verification.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Vision and Language Large Language Models

Explore the intersection of vision and language in Large Language Models, understanding their capabilities, architectures, and real-world applications in AI systems.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Abstractive Summarization and Text Generation Evaluation

Explore advanced techniques in abstractive summarization and learn effective methods for evaluating text generation outputs in natural language processing.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Multilingual Large Language Models - Fundamentals and Applications

Explore the capabilities and applications of multilingual language models through an in-depth technical lecture covering key concepts, challenges, and implementation strategies.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Part of Speech Tagging, Named Entity Recognition, and Hidden Markov Model

Master essential Natural Language Processing techniques including part-of-speech tagging, named entity recognition, and hidden Markov models for advanced text analysis.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Generative Agents - Advances in Generative AI

Explore the cutting-edge world of generative agents in AI, examining their development, capabilities, and potential applications in modern technology and automation.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Retrieval Augmented Generation and Extractive Summarization Techniques

Dive into advanced natural language processing techniques, exploring RAG systems and extractive summarization methods for enhanced text processing capabilities.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Dependency Parsing in Natural Language Processing

Master dependency parsing fundamentals and techniques, exploring syntactic relationships between words in sentences for enhanced natural language processing applications.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Constituency Parsing and CKY Algorithm

Master constituency parsing and the CKY algorithm to efficiently analyze syntactic structures in natural language processing and computational linguistics.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Hidden Markov Models: Parameter Estimation, Inference, and Viterbi Algorithm

Master parameter estimation and inference in Hidden Markov Models (HMM), including Viterbi algorithm implementation for sequence analysis and probabilistic modeling.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Parameter-Efficient Finetuning - QLoRA and LoRA Methods

Explore parameter-efficient fine-tuning techniques with LoRA and QLoRA, learning how to optimize large language models while maintaining performance and reducing computational costs.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Introduction to Data Mining - Lecture 1

Discover fundamental concepts and techniques of data mining, including pattern recognition, clustering, and predictive modeling for real-world applications.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Neural Networks: Practical Aspects of Training and Implementation - Lecture 26

Dive into practical aspects of using and training neural networks, focusing on implementation techniques and methodologies.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Neural Networks: Forward Propagation and Backpropagation - Lecture 25

Dive into neural network training with forward propagation and backpropagation techniques for parameter optimization in this comprehensive exploration.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video