Awesome Prompt Engineering Project on GitHub: A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering. (github.com)

A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering. - GitHub - snwfdhmp/awesome-gpt-prompt-engineering: A curated list of awesome resources, tools, and ot...

Why artificial intelligence needs to understand consequences (www.nature.com)

This is the potential development in AI I'm most interested in. So naturally, I tested this when I first used ChatGPT. In classic ChatGPT fashion, when asked to make a directed acyclic graph representing cause and effect, it could interpret that well enough to make a simple graph...but got the cause and effect flow for something...

OC The Ultimate 5 ChatGPT Prompts: Simplify Your AI Experience (ngmi.gumroad.com)

Maximize ChatGPT Efficiency Without the Need for Expensive Tools or Complicated Prompting SchemesTired of being bombarded with countless prompts, so-called “advanced” meta prompting techniques, and expensive AI tools? It's all BULLSHIT. Say goodbye to complexity and hello to simplicity with our carefully curated collection...

The Curse of Recursion: Training on Generated Data Makes Models Forget (arxiv.org)

Stable Diffusion revolutionised image creation from descriptive text. GPT-2, GPT-3(.5) and GPT-4 demonstrated astonishing performance across a variety of language tasks. ChatGPT introduced such language models to the general public. It is now clear that large language models (LLMs) are here to stay, and will bring about drastic...

The Curse of Recursion: Training on Generated Data Makes Models Forget (arxiv.org)

Stable Diffusion revolutionised image creation from descriptive text. GPT-2, GPT-3(.5) and GPT-4 demonstrated astonishing performance across a variety of language tasks. ChatGPT introduced such language models to the general public. It is now clear that large language models (LLMs) are here to stay, and will bring about drastic...

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