Tokenization in NLP: From Basics to Advanced Techniques
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into a comprehensive live talk on tokenization in Natural Language Processing (NLP), led by Suman Debnath, Principal Developer Advocate for Machine Learning at Amazon Web Services. Explore the fundamental processes that enable machines to interpret human language, from basic concepts to advanced techniques. Gain insights into word embeddings, text tokenization, token ID conversion, special context tokens, BytePair Encoding, sliding window data sampling, token embeddings creation, word position encoding, and positional encoding. Learn how tokenization impacts language models, enhances text analysis, and improves training data efficiency. Discover the critical role of tokenization in bridging human communication with artificial intelligence, and understand its implications for the future of technology and machine learning.