repository·2025·Indexed 27 days ago
https://github.com/yandexdataschool/nlp_courseMaterials for the 2025 iteration of the YSDA Natural Language Processing course. The 14-week curriculum covers modern NLP and LLM technologies, including word embeddings, Transformers, Large Language Models, PEFT, RLHF, RAG, AI agents, and multimodal LLMs. The repository includes lectures, seminar notebooks, and homework assignments.
This module covers the transition of Large Language Model (LLM) systems from initial prototypes to production-ready environments. Key topics include:
This module covers the deployment of AI agents in production environments. Key topics include:
Note: This is an advanced topic. For foundational concepts, refer to Week 10: AI Agents and the seminar on Long-term Agent Memory.
./week01_embeddings).For deeper learning beyond the core curriculum, use the following curated resources:
The Week 03 Attention module provides lecture slides, video recordings, and supplementary research materials.
Core Materials:
Supplementary Reading & Research:
The Week 04 module covers Transfer Learning. You can access the following resources:
./lecture_transfer.pdf and ./scheme.pdf.The Machine Translation module covers word alignment models, noisy channel models, phrase-based MT, and Neural Machine Translation (NMT). The following resources are available:
./week*/ directories. For the best learning experience, it is recommended to browse the course content via the ./week* folders rather than navigating the slides folder directly.The Week 06 module covers Prompting and In-Context Learning. You can access the following resources:
./lecture_prompting.pdf) or via Google Slides.