AI RESEARCH
Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
arXiv CS.CL
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ArXi:2605.03799v1 Announce Type: new This preprint presents a systematic, research-oriented practicum that guides the reader through the entire modern NLP pipeline: from tokenisation and vectorisation to fine-tuning of large language models, retrieval-augmented generation, and reinforcement learning from human feedback. Twelve hands-on sessions combine concise theory with detailed implementation plans, formalised evaluation metrics, and transparent assessment criteria.