›Parsing with an LLM
2.9 · Lesson
Parsing with an LLM
In the previous lessons, you built rule-based parsers and explored what ML models can do. An iGo to glossary for large language model (opens in a new tab)A model trained on text to predict the next token, and so to generate language. takes a fundamentally different approach — it reads the text and returns structured fields based on comprehension rather than iFull definition for pattern (opens in a new tab)A graph structure written in Cypher, such as a node joined to another node by a relationship..
Open 2.6_parsing_with_llm.ipynb in your Codespace to follow along.
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