Part 6/10:
Recognize potential inaccuracies due to neural recall—GPT-3's internal memory—necessitating future integration with external data sources.
Content Stitching:
Generate individual section drafts.
Concatenate these into a full article, then refine the entire piece to ensure coherence.
Output Storage & Cleanup:
Save final results into text files for review and publication.
Perform post-processing to remove artifacts like backslashes or excessive whitespace.
Sample Topic: The History of Shinto in Japan
Applying this method, the speaker first selects a culturally rich topic—"The History of Shinto and Torii Gates in Japan." Through extensive prompt engineering, multiple iterations, and research prompts, GPT-3 produces a detailed blog structure encompassing: