tensorflow-nlp-tutorial

Why we included this project

This is a code-first companion to a popular Korean-language NLP textbook, and it covers the field from basic text preprocessing up through BERT, GPT, and LLM fine-tuning. Each chapter pairs a Colab-ready Python script with the theory behind it, so you can run BERT classification, named entity recognition, question answering, or fine-tune an LLM without installing anything locally. The newer sections on RAG and fine-tuning LLMs and vision-language models keep the material current. It's a learning resource rather than something you'd deploy, which makes it a good fit for developers and students who want working reference code to study and adapt.