Graham Neubig Courses

Neural Networks for Natural Language Processing 2017

Dive into neural networks for natural language processing with comprehensive coverage from word embeddings to advanced parsing, attention mechanisms, and multilingual learning.

• YouTube
• 1 day 3 hours 5 minutes
• Self-Paced
• Free Video

Reward Models and Best-of-N - CMU LLM Inference 12

Explore reward models and best-of-n sampling techniques for optimizing LLM outputs, plus Monte Carlo Tree Search methods in this advanced NLP lecture.

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

Agents and Multi-Agent Communication - Lecture 11

Explore agent architectures, multi-agent systems, and safety challenges in LLM inference with efficiency optimizations and context management techniques.

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

Self-Refine and Self-Correction Methods - CMU LLM Inference 8

Explore self-refine techniques and iterative refinement methods for LLMs, including self-debugging, verbal reinforcement learning, and tool-interactive critiquing approaches.

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

Reasoning Models in Large Language Model Inference - Lecture 9

Explore advanced reasoning models in LLMs, covering reinforcement learning training, STaR methodology, DeepSeek R1, chain-of-thought reasoning, domain transfer, and cutting-edge algorithms.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Incorporating Tools in Large Language Model Inference - Lecture 10

Explore advanced techniques for integrating tools with large language models, covering tool use paradigms, creation methods, robustness evaluation, and secure execution frameworks.

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

Other Controlled Generation Methods - CMU LLM Inference 6

Explore advanced techniques for controlling LLM text generation, including decoding-time distributional modifiers and other sophisticated methods for guided output.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Chain of Thought and Intermediate Steps - CMU LLM Inference 7

Explore chain of thought reasoning in LLMs, understanding why intermediate steps improve inference and learning self-consistency techniques for better model performance.

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

A* and Best First Search for LLM Inference - Lecture 5

Explore A* and best first search algorithms for LLM inference, covering beam search variants and addressing mode inadequacies in advanced natural language processing.

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

Advanced NLP: Adversarial Methods for Text

Explore advanced NLP techniques including adversarial networks, discrete outputs, and input manipulation for robust language models and applications.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

CMU Advanced NLP 2022 - Latent Variable Models

Explore advanced NLP concepts: latent variables, variational autoencoders, and their applications in natural language processing. Gain insights into generative models and feature learning.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Advanced NLP 2022: Modeling Long Sequences

Explore advanced techniques for processing long text sequences, including feature extraction and document-level NLP tasks, with a focus on transformer architectures and sparse attention mechanisms.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Structured Learning Algorithms

Explore advanced NLP techniques like reinforcement learning, structured perceptron, and exposure bias remedies. Gain insights into globally normalized models and structured prediction algorithms.

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

CMU Advanced NLP: Semantics and Discourse

Explore advanced NLP concepts like semantic parsing, discourse coherence, pragmatics, and reference resolution in this comprehensive lecture on natural language understanding.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

CMU Advanced NLP: Syntax and Semantics

Explore advanced NLP concepts: dependency parsing, feature structures, semantic roles, and formal semantics. Gain insights into linguistic analysis and representation techniques.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video