ChatGPT Hack: Tired of AI generated content that sounds too much like ChatGPT? Use Dependency Grammar Framework in your prompts. It changes the output to sound 100% like a human. Follow the thread:
PROMPT ENGINEERING
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Custom GPTs Updated with Dependency Grammar Framework
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I just updated my Custom GPTs with Dependency Grammar Framework! You can test them out, but I already see content output as 100% human written: – Sales Email Generator GPT: https://
godofprompt.ai/gpts/sales-ema
il-generator
… – SEO Article Generator GPT: https://
godofprompt.ai/gpts/seo-artic
le-writer
… – Article Rewriter GPT: -
Prompt Injection vs Jailbreaking: Understanding AI Security Distinctions
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prompt injection is a security issue – you may be confusing it with jailbreaking https://
simonwillison.net/2024/Mar/5/pro
mpt-injection-jailbreaking/#censorship-debate
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GPT-3.5 prompt injection defense and fine-tuning advantages
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I quite like that they're using GPT3.5 here – for prompt injection a defense that works with the less expensive, faster models would almost certainly work with the more expensive ones too I imagine GPT-3.5 is better for fine tuning at the moment because there's more experience
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51 Posts on Prompt Injection: Complete Collection
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Here are all 51 of my posts on prompt injection so far – love having tags on my blog!
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OpenAI releases detailed prompt injection evaluation paper
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New paper from @OpenAI on prompt injection – it's the most detailed evaluation of the problem I've seen from them so far, and has some very interesting details Posted some of my notes on the paper on my log here: https://
simonwillison.net/2024/Apr/23/th
e-instruction-hierarchy/
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ChatGPT struggles with complex visual scene generation
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ChatGPT struggles a bit:
"Visual Elements: Towering trees, a dimly lit path splitting into two, fading dusk light, shadows moving slightly with the wind." Its code drew this (to be fair, I think it "wanted" the tress to be vertical cones) -
Fine-tuning vs RAG: Choosing the Right Approach
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If you get that working I'd love to hear about it! I've been mostly put off fine-tuning for this kind of thing because RAG feels easier to get results out of
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Fine-tuning vs RAG: Best Practices for Model Knowledge
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Not that I've seen yet, but you probably don't want to do that – as a general rule fine-tuning on a small number of documents isn't an effective way to "add knowledge" to a model – you should look at implementing RAG instead Some notes on that here:
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Goal-Play AI Simulations for Interactive Learning
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Here is a goal-play prompt you can try. In a goal play, the AI sets up a scenario in which the student knows something the character in the simulation does not and guides the character using what they know, GPT: https://
chat.openai.com/g/g-Rg4AbuKui-
goal-setting-goal-play
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Gemini Advance: https://
g.co/gemini/share/0
960efc4192b
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