Graham Neubig

Videos by Graham Neubig (http://www.phontron.com)

Выводы CMU LLM (12): Модели вознаграждения и лучшие из N
Выводы CMU LLM (12): Модели вознаграждения и лучшие из N
CMU LLM Inference (11): Agents and Multi-Agent Communication
CMU LLM Inference (11): Agents and Multi-Agent Communication
Вывод CMU LLM (10): Интеграция инструментов
Вывод CMU LLM (10): Интеграция инструментов
CMU LLM Inference (9): Reasoning Models
CMU LLM Inference (9): Reasoning Models
Вывод CMU LLM (8): методы самообновления и самокоррекции
Вывод CMU LLM (8): методы самообновления и самокоррекции
Вывод CMU LLM (7): цепочка мыслей и промежуточные шаги
Вывод CMU LLM (7): цепочка мыслей и промежуточные шаги
CMU LLM Inference (6): Other Controlled Generation Methods
CMU LLM Inference (6): Other Controlled Generation Methods
Вывод CMU LLM (5): A* и наилучший первый поиск
Вывод CMU LLM (5): A* и наилучший первый поиск
CMU LLM Inference (4): Beam Search and Variants
CMU LLM Inference (4): Beam Search and Variants
CMU LLM Inference (3): Common Sampling Methods
CMU LLM Inference (3): Common Sampling Methods
CMU LLM Inference (2): Probability Review and Code Examples
CMU LLM Inference (2): Probability Review and Code Examples
CMU LLM Inference (1): Introduction to Language Models and Inference
CMU LLM Inference (1): Introduction to Language Models and Inference
CMU Advanced NLP Fall 2024 (22): From Decoding to Meta Generation Inference Time Algorithms for LMs
CMU Advanced NLP Fall 2024 (22): From Decoding to Meta Generation Inference Time Algorithms for LMs
CMU Advanced NLP Fall 2024 (23): MagicPIG & Factor - Methods for Long Context LMs
CMU Advanced NLP Fall 2024 (23): MagicPIG & Factor - Methods for Long Context LMs
CMU Advanced NLP Fall 2024 (21): Safety, Ethics, and Biase in NLP Systems
CMU Advanced NLP Fall 2024 (21): Safety, Ethics, and Biase in NLP Systems
CMU Advanced NLP Fall 2024 (20): Multilingual NLP
CMU Advanced NLP Fall 2024 (20): Multilingual NLP
CMU Advanced NLP Fall 2024 (19): Learning From/For Knowledge Bases
CMU Advanced NLP Fall 2024 (19): Learning From/For Knowledge Bases
CMU Advanced NLP Fall 2024 (18): Linguistics and Computational Linguistics
CMU Advanced NLP Fall 2024 (18): Linguistics and Computational Linguistics
CMU Advanced NLP Fall 2024 (17): Evaluation and Multimodal
CMU Advanced NLP Fall 2024 (17): Evaluation and Multimodal
CMU Advanced NLP Fall 2024 (14): Ensembling and Mixture of Experts
CMU Advanced NLP Fall 2024 (14): Ensembling and Mixture of Experts
CMU Advanced NLP Fall 2024 (16): Agents for Software Development and Web Browsing
CMU Advanced NLP Fall 2024 (16): Agents for Software Development and Web Browsing
CMU Advanced NLP Fall 2024 (15): Tool Use and LLM Agent Basics
CMU Advanced NLP Fall 2024 (15): Tool Use and LLM Agent Basics
CMU Advanced NLP Fall 2024 (13): Long Sequence Models
CMU Advanced NLP Fall 2024 (13): Long Sequence Models
CMU Advanced NLP Fall 2024 (7): Prompting and Complex Reasoning
CMU Advanced NLP Fall 2024 (7): Prompting and Complex Reasoning
CMU Advanced NLP Fall 2024 (6): Instruction Tuning
CMU Advanced NLP Fall 2024 (6): Instruction Tuning
CMU Advanced NLP Fall 2024 (12): Domain Specific Modeling: Code and Math
CMU Advanced NLP Fall 2024 (12): Domain Specific Modeling: Code and Math
CMU Advanced NLP Fall 2024 (11): Distillation, Quantization, and Pruning
CMU Advanced NLP Fall 2024 (11): Distillation, Quantization, and Pruning
CMU Advanced NLP Fall 2024 (10): Retrieval and RAG
CMU Advanced NLP Fall 2024 (10): Retrieval and RAG
CMU Advanced NLP Fall 2024 (9): Experimental Design and Data Annotation
CMU Advanced NLP Fall 2024 (9): Experimental Design and Data Annotation
CMU Advanced NLP Fall 2024 (8): Reinforcement Learning and Human Feedback
CMU Advanced NLP Fall 2024 (8): Reinforcement Learning and Human Feedback