Part 6/11:
He demonstrates scraping, converting, and organizing these PDFs into plain text. This process involves careful extraction—preserving page breaks and relevant metadata—to prepare the data for analysis. Importantly, David warns against overloading the model due to token limits, highlighting that even GPT-3's impressive capabilities are constrained by practical input sizes.
Overcoming Token Limitations and External Data Integration
A core challenge is the AI's limited context size. Large legal documents—sometimes hundreds of pages—must be split into manageable chunks without losing coherence. David experiments with segmenting documents into 13,000-character blocks, then summarizing or converting these into structured knowledge representations.