6) Capture your writing style Feed ChatGPT your writing.
Ask it to help you create a style guide for future outputs. It’ll give you the exact words to describe your voice and tone in a way that AIs understand. Example prompt:
Analyze the text below for style, voice, and tone.
PROMPT ENGINEERING
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Capture your writing style with an AI style guide
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Ultra-Brainstormer: New Approaches for Familiar Topics
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5) Ultra-Brainstormer It’s easy to have ChatGPT generate a list of potential topic ideas for your next project. But often they're generic and expected. Instead, ask it to come up with new angles or approaches to cover a familiar topic. Example prompt: Topic: How to double
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Use unconventional prompts to get unique creative responses
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4) Use unconventional prompts
Try using prompts that are more open-ended or abstract. This way you’ll get unique and creative responses nobody else is. By getting weird, you can unlock ChatGPT's creative potential in finding vivid language and unexpected topics. Example -
Generate content with a specific purpose for ChatGPT
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3) Generate content with a specific purpose or goal in mind Tell ChatGPT who your audience is and what you want to achieve with your content. Remember, it has no context about who you are or what you want unless you give it some. So give it context. Example prompt:
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Using ChatGPT to vary writing formats
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2) Use ChatGPT to write in different formats Ask ChatGPT to vary its output.
• Outline • Mind map • Bullet points • Persuasive essay • Chunks of text of less than 280 characters • Using the structure: 1) What, 2) Why, 3) How Create a mind map on the topic of using -
10 prompt engineering strategies boosted ChatGPT output quality by 300%
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I thought I knew ChatGPT. Then I tried these 10 prompt engineering strategies. Its output quality increased 300%. Follow the thread:
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ChatGPT: Writing from Different Perspectives for Entrepreneurs
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1) Have ChatGPT write from different perspectives: Ask it to write from the perspective of a group of characters with different backgrounds or viewpoints. Explore new ideas and perspectives, and add depth to your writing. Example prompt: Topic: Productivity for entrepreneurs
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LLM Evaluation Methodologies: Taxonomy and Approaches
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7/ Overview of LLMs for Evaluation – thoroughly surveys the methodologies and explores their strengths and limitations; provides a taxonomy of different approaches involving prompt engineering or calibrating open-source LLMs for evaluation.
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Self-Rewarding Models: LLM Self-Alignment Training Method
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4/ Self-Rewarding Models – proposes a self-alignment method that uses the model itself for LLM-as-a-Judge prompting to provide its rewards during training; Iterative DPO is used for instruction following training using the preference pairs.
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RAG versus Fine-tuning: LLM Optimization Trade-offs Analysis
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3/ RAG vs. Finetuning – report discussing the tradeoff between RAG and fine-tuning when using LLMs like Llama 2 and GPT-4; performs a detailed analysis and highlights insights when applying the pipelines on an agricultural dataset.