lecture1

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-History of NLP, interdisciplinarity, current pipeline
+## 1. Large language models (LLMs), Artificial Intelligence (AI) and Natural language processing (NLP), history of NLP
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+### NLP at the intersection of three disciplines 
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+<img src="figures/NLP_inter.png" alt="inter" width="250"/>
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+- Computational Linguistics is more about text **parsing**, NLP more about **end user** tasks. 
+- Machine learning is a set of methods and techniques used to parse text and perform end-user tasks.
+- End-user tasks are an important part of artificial intelligence because language is the most prominent capacity of human intelligence. 
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+(More explanations in Eisenstein)  
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+&nbsp; 
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+### Three big eras in the history of NLP
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+<img src="figures/NLP_hist.png" alt="hist" width="750"/>
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+&nbsp; 
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+### Current pipeline
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+<img src="figures/NLP_tasks.png" alt="tasks" width="600"/>
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+---
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+&nbsp;