Deep Learning & NLP

Transformers, BERT, LLM applications, text preprocessing, and LoRA fine-tuning.

Use this subtrack when you want portfolio-style NLP and LLM projects inside a practical workflow, rather than a deep theory-first treatment.

How To Use This Subtrack Well

• Start with one concrete language task before mixing prompting, fine-tuning, and retrieval together.
• Compare simple baselines against heavier model adaptation so the project stays disciplined.
• Pair this subtrack with ../../12-llm-finetuning/README.md and ../../08-rag/README.md as needed.

What Comes Next

• Continue to ../README.md for the broader practical data science roadmap.
• Continue to ../../12-llm-finetuning/README.md if the project points toward model adaptation.
• Continue to ../../15-ai-agents/README.md if you want to turn the language workflows into tool-using systems.