Tailored for those looking to master text manipulation using LLMs, this course delves into sophisticated prompt engineering strategies to summarize, extend, or modify text without compromising specific elements. Whether preserving tone, style, or content, learners will gain the ability to finely tune LLM outputs for nuanced text enhancements.
Overview
Syllabus
- Unit 1: Efficient Summarization and Element Preservation in Prompt Engineering
- Summarizing Albert Einstein's Legacy While Preserving Tone
- Summarizing Einstein's Legacy in Modern Physics
- Summarizing Einstein's Publications in a Bulleted List
- Unit 2: Crafting Prompts for Exclusionary Summarization
- Summarizing Steve Jobs's Technological Contributions
- Summarizing Steve Jobs's Technological Contributions
- Summarizing Steve Jobs's Achievements in Technology and Design
- Unit 3: Prompt Engineering for Text Extension and Constraint Management
- Extending a Dark Fantasy Scene with a Spectral Revelation
- Extending a Fantasy Narrative with Enigmatic Elements
- Extending a Gothic Fantasy Tale with Consistency
- Unit 4: Extending Text with Precise Modifications in Prompt Engineering
- Transforming Fear to Hope in a Thriller Narrative
- Transforming a Thriller: From Nighttime Fear to Dawn Determination
- Crafting a Calming Character Narrative Extension
- Unit 5: Prompt Engineering for Seamless Text Integration
- Detective Story Dialogue Insertion Task
- Crafting Intriguing Detective Dialogue
- Identifying Character Dialogue with Markers
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