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PROMPT ENGINEERING
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Using OpenAI o1 to humanize AI-generated content
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Asking o1 to humanise the post it wrote previously. It was quite at a good level. I will publish some examples today
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User experience with AI prompt efficacy
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I have used only 4 messages so far. Planning to focus on more complex prompts for writing. So far it is hard to say. Only one of my 4 queries were good. But it is too little
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Free ChatGPT System Prompt Hack to Get What You Want
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I found a hack to get exactly what you want from ChatGPT. Most people don't know how to use ChatGPT. That's why I created this "ChatGPT system prompt" to help you. Its absolutely free for the next 24 hrs. Like + comment "AI" and I'll DM you the file. (Must be following me to
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Stop Using Chain of Thought in LLM Agent Infrastructure
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I don’t think any of the LLM/agent infra is CoT infra So we’ll tell everyone to stop using CoT
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Out of Focus v1.0: Image Manipulation Tool via Diffusion Inversion
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Out of Focus v1.0 github: https://
github.com/OutofAi/OutofF
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… Out of AI presents a flexible tool in Gradio to manipulate your images. This is our first version of Image modification tool through prompt manipulation by reconstruction through diffusion inversion process. We recommend running -
Prompt Engineering Guide for ChatGPT o1
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ChatGPT o1 prompt guide to keep in mind for your 50 weekly messages limit
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Reasoning tokens: tracking, feedback, and model consistency challenges
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Having another token type would add complexity. Do you track and store reasoning tokens? If the initial reasoning is off, and you provide it feedback, how well will it guide the next reasoning, especially if the model drops those tokens (or so it seems that way based on how I’m
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Model Outputs Separated Thought Chain Technique Explained
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So it seems like there is a “thought” output from the model before the “response” output, essentially having it do CoT that way and removing the “thought” part
