Summer School

June 22, 2026 - July 3, 2026

National University of Science and Technology Politehnica Bucharest

About This Event

The Summer School on Natural Language Processing is an intensive program that takes participants from the fundamentals of modern NLP to its current research frontier. Early sessions cover data preprocessing, statistics, classical machine learning, and neural networks, building toward NLP pipelines, word embeddings, Transformers, Large Language Models, and retrieval-augmented generation. Advanced topics include reinforcement learning, preference optimization, synthetic data, and self-supervised learning, complemented by hands-on work with the field's practical tools and resources. The school concludes with a one-month mentored project, in which students apply their knowledge to a real-world AI problem under expert guidance.

Topics Covered

Introduction to AIIntro to NLP pipelinesPython for NLPData pre-processingBasic statisticsApplied statisticsClassical ML (clustering)Classical ML (loss, regression, overfitting)Applied classical MLNeural networksData visualizationWord embeddingsTransformersPre- & Post-Training LLMsDecoding (probabilities, logits, structured outputs)Synthetic dataRetrieval-Augmented Generation (RAG)RAG applicationsReinforcement learningPreference optimizationNLP in educationSelf-supervised learningNLP applications