Unveiling the Secrets of NLP: A Deep Dive into What Makes Language Models Tick!
Analysis
This article series dives deep into the fascinating world of Natural Language Processing (NLP) and how it powers technologies like the Transformer. It promises to demystify complex concepts like "why language models work through next word prediction" from a mathematical standpoint, making it accessible to those new to the field.
Key Takeaways
Reference / Citation
View Original"The central focus is on the following equation: P(\bm{Y})=\prod_{t=1}^{T}P(\bm{y}_t|\bm{Y}_{0:t-1}) This formula will unlock the understanding of what Natural Language Processing is ultimately doing."
Z
Zenn NLPFeb 5, 2026 10:37
* Cited for critical analysis under Article 32.