Чему вы научитесь
- Understand the key concepts and methods of modern NLP
- Explain how modern language models are built and trained
- Apply modern techniques for working with LLMs
- Understand emerging LLM capabilities and systems
О курсе
The course is intended for learners interested in the field of Natural Language Processing (NLP) in its current state and in large language models (LLMs). We expect you to be familiar with the fundamental machine learning algorithms, in particular, classical approaches to working with textual data.
Начальные требования
Knowledge of the fundamental machine learning algorithms
Working knowledge of Python
Преподаватели курса
36 766
Как проходит обучение
The course is based on weekly webinars. Webinar recordings are uploaded to the course and can be watched at any convenient time. The course also includes mandatory practical Python assignments, supplementary reading materials, and quizzes.
Что вы получите
- Understand the key concepts and methods of modern NLP
- Apply classical NLP methods, including word embeddings
- Understand language modeling and the Transformer architecture
- Work with pretrained language models, including BERT and GPT
- Understand the principles behind modern LLMs and conversational AI
- Apply modern LLM techniques, including RAG and long-context methods
- Practice solving real-world NLP tasks using modern language models