Graham Neubig Courses

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 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