Graham Neubig Courses

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

CMU LLM Inference - Beam Search and Variants

Explore beam search algorithms and their variants for LLM inference, examining the inadequacies of mode-based approaches in natural language processing applications.

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

Common Sampling Methods for Modern NLP - CMU LLM Inference 3

Explore common sampling methods for modern NLP and understand diversity-quality tradeoffs in language model inference through practical examples and analysis.

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

Probability Review and Code Examples for LLM Inference - Lecture 2

Dive into probability fundamentals, transformer implementation, and generation techniques for advanced NLP with practical code examples and meta-generation concepts.

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

Introduction to Language Models and Inference - CMU LLM Inference 1

Dive into language model fundamentals, transformer architecture, and inference algorithms while exploring modeling and search errors in modern LLM systems.

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

Advanced Natural Language Processing - Fall 2024

Master advanced NLP techniques from transformers to LLM agents, covering pre-training, instruction tuning, RLHF, RAG, and cutting-edge inference algorithms in this comprehensive CMU series.

• YouTube
• 1 day 3 hours 10 minutes
• Self-Paced
• Free Video

CMU Advanced Natural Language Processing Spring 2024

Master advanced NLP techniques from transformers to LLMs, covering prompting, fine-tuning, RAG, reinforcement learning, code generation, and multilingual processing in this comprehensive series.

• YouTube
• 1 day 1 hour 26 minutes
• Self-Paced
• Free Video

CMU Advanced Natural Language Processing 2022

Master advanced NLP techniques from text classification to transformers, covering attention mechanisms, pre-training methods, prompting, bias detection, and structured learning algorithms.

• YouTube
• 1 day 6 hours 23 minutes
• Self-Paced
• Free Video

CMU Multilingual Natural Language Processing 2022

Explore multilingual natural language processing techniques, from machine translation and speech recognition to endangered language documentation and cross-lingual transfer learning.

• YouTube
• 17 hours 41 minutes
• Self-Paced
• Free Video

CMU Advanced Natural Language Processing 2021

Master advanced NLP techniques from neural networks to transformers, covering text classification, language modeling, attention mechanisms, and cutting-edge pre-training methods.

• YouTube
• 1 day 6 hours 17 minutes
• Self-Paced
• Free Video

Neural Networks for Natural Language Processing 2021

Master neural network architectures for natural language processing through comprehensive coverage of RNNs, attention mechanisms, transformers, and advanced NLP techniques.

• YouTube
• 16 hours 25 minutes
• Self-Paced
• Free Video

Multilingual Natural Language Processing 2020

Explore multilingual NLP techniques from typology to machine translation, covering cross-lingual transfer, speech processing, and low-resource language challenges.

• YouTube
• 17 hours 52 minutes
• Self-Paced
• Free Video

Neural Networks for Natural Language Processing 2020

Master neural network architectures for natural language processing through comprehensive coverage of CNNs, RNNs, attention mechanisms, and advanced techniques like reinforcement learning.

• YouTube
• 1 day 3 hours 30 minutes
• Self-Paced
• Free Video

Neural Networks for Natural Language Processing 2019

Master neural networks for natural language processing through comprehensive lectures covering word vectors, CNNs, RNNs, attention, parsing, and advanced NLP applications.

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

Neural Networks for Natural Language Processing 2018

Master neural network architectures for natural language processing through comprehensive coverage of CNNs, RNNs, attention mechanisms, and structured prediction techniques.

• YouTube
• 21 hours 20 minutes
• Self-Paced
• Free Video