gpt-5 is not needed to 100x the potential these models have we could stop all language model development today and we still haven’t scratched the surface of their capabilities here are a few non-obvious ways language models can be improved without creating any new models:
PROMPT ENGINEERING
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Parallel Language Models Orchestrated by Conductor LLM
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running language models in parallel with each one focused on a sub-task, all orchestrated by a conductor language model picture something like a massive tree of GPT models working on answering a single complex prompt
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Using Language Models to Pre-process and Optimize Your Prompts
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using another language model for pre-processing your prompts to transform them into something that gives better responses if you want a prompt that you can use to already do this, read the prompt tip section here: https://
thepromptreport.com/p/report-5-eve
ryone-write-jailbreaks
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InstructPix2Pix: Image Editing with Diffusion Models and Prompts
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🚀Blog-tastic Tuesdays🚀
— Satya Mallick (@LearnOpenCV) 28 mars 2023
Today we delve into InstructPix2Pix, a diffusion model that lets us easily edit images with prompts.https://t.co/w8QWCYy5vf
Check out our latest blog post, where we discuss what is #instructpix2pix, how it works, how it is trained, and what kind of… pic.twitter.com/3gUimbJs4RBlog-tastic Tuesdays
Today we delve into InstructPix2Pix, a diffusion model that lets us easily edit images with prompts. https://
learnopencv.com/instructpix2pi
x/
… Check out our latest blog post, where we discuss what is #instructpix2pix, how it works, how it is trained, and what kind of -
Everyone Becomes Architect With ChatGPT App Development
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alors ok tout le monde va devenir architecte et dire ok chatgpt tu vas coder une appli pour que ça fasse çà et ça, 🙂
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Selling PDF Guide to Clean Low Quality AIPRM Prompts
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moi je vais vendre un pdf pour cleaner les prompt aiprm parcqu'ils sont pas tous de qualité 😉
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GPT-4 productivity gap between expert and mediocre programmers
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Les réactions à ce tweet sont instructives Les excellents informaticiens par exemple les Polytechniciens se servent tres bien de GPT4 qui explose leur productivité Les médiocres expliquent que GPT4 est nul et ne sert à rien On voit la fracture entre ceux qui sont tres
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Using AI as Second Brain Before Data Integration
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Waiting to collect data til the hookup exists is an amateur move my friend. In the meantime, they’ll give you a second brain you can ask questions to.
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The Learnability of In-Context Learning: Theoretical Framework
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The Learnability of In-Context Learning In context-learning is a term that refers to the emerging ability of very large models to perform tasks with few or zero demonstrations. This paper attempts to give a theory behind in-context learning. https://
arxiv.org/abs/2303.07895 -
Pinecone Task Storage: Scaling AI Agent Context Windows
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Yeah, it has lots of issues now. Storing task/result pairs in Pinecone, and pulling relevant stuff for execution – but will be much easier to do complex stuff with 32k token limit.