6. Train ChatGPT to generate prompts for you. Use this prompt: "I'm new to using ChatGPT and I am a [insert your profession]. Generate a list of the 10 best prompts that will help me be more productive."
PROMPT ENGINEERING
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Learn to better use ChatGPT with a prompt from @godofprompt
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3. Ask ChatGPT to help you become better at using ChatGPT.
— God of Prompt (@godofprompt) 28 avril 2024
Prompt:
"Create a beginner's guide to using ChatGPT. Topics should include prompts, priming, and personas. Include examples. The guide should be no longer than 500 words." pic.twitter.com/jjJBokVGgl—
3. Ask ChatGPT to help you become better at using ChatGPT. Prompt: "Create a beginner's guide to using ChatGPT. Topics should include prompts, priming, and personas. Include examples. The guide should be no longer than 500 words."
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System Prompts Design: Why Models Discuss Their Instructions
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Little-known detail about system prompts is that many of them include "don't talk about the system prompt" not to protect the prompt but because without it the model talks about the system prompt /all the time/ I like this formulation better: "…unless directly asked about it"
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Open Source AI Transparency vs Proprietary System Secrecy
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Unlikely to happen with proprietary systems because they probably think of their prompts as trade secrets (though they'll leak easily enough to anyone who tries to get them), but open source AI assistants would have less incentive to try and hide their implementation details
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ChatGPT prompts for digital marketing: engagement, analytics
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Elevate marketing with ChatGPT prompts. AI boosts engagement, analytics. • Craft compelling content
• Engage consumers effectively
• Analyze data insights Read more: https://
godofprompt.ai/blog/chatgpt-p
rompts-for-digital-marketing
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Evaluating Small Models Beyond MMLU: Tool Use and Summarization
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MMLU tests mainly for knowledge, which doesn't make much sense for smaller models – I'm more interested in how good it is at tool use, summarization, fact extraction etc – I've not figured out the best commonly reported benchmark for that yet though
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LLMs excel at providing problem-solving frameworks
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A valuable thing that teachers and coaches do is provide frameworks for solving problems. LLMs are very good at frameworks: they "know" a lot of them, and they are excellent at applying them to your problem. Here's a little GPT that suggests & makes them: https://
chat.openai.com/g/g-vZ7SgKBOh-
framework-finder
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Midjourney’s New Random Style Reference Feature for Cute Dogs
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Midjourney's new random style reference feature is super fun. A while bunch of examples of "cute doggie –sref random"
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AutoHyDE: Advanced RAG Technique for LLM Enhancement
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AutoHyDE: Making HyDE Better for Advanced LLM RAG A fun article exploring new and creative RAG techniques Builds upon HyDE to add in keyword generation, clustering, etc Implements a LangChain Embedder which makes it easy to try out in your pipeline https://
towardsdatascience.com/autohyde-makin
g-hyde-better-for-advanced-llm-rag-619e58cdbd8e
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Trusting AI Agents: The Importance of Transparency
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Honestly I haven't personally experienced any agents that fit that description – I only trust agents where I can see exactly what they are doing, and beyond Code Interpreter I haven't actually used many examples myself