NLP

Build a practical semantic search system with Python and Sentence Transformers. Learn how text becomes embeddings, compare queries with documents, rank results by similarity, and turn the prototype into a reusable search component.

Build a real sentiment analysis application with Python and Hugging Face Transformers. Learn how pretrained NLP models work, run inference locally, interpret confidence scores, process multiple reviews, expose the model through an API, and understand when sentiment models can fail.

Understand the difference between RAG and fine-tuning, how each approach works, their advantages and limitations, and when developers should use one or combine both.