notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter.
This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.
This Readme is just the high level overview of the space; you should see the most updates in the OTHER markdown files in this repo:
TEXT.md
- text generation, mostly with GPT-4
TEXT_CHAT.md
- information on ChatGPT and competitors, as well as derivative productsTEXT_SEARCH.md
- information on GPT-4 enabled semantic search and other infoTEXT_PROMPTS.md
- a small swipe file of good GPT3 promptsINFRA.md
- raw notes on AI Infrastructure, Hardware and ScalingAUDIO.md
- tracking audio/music/voice transcription + generationCODE.md
- codegen models, like CopilotIMAGE_GEN.md
- the most developed file, with the heaviest emphasis notes on Stable Diffusion, and some on midjourney and dalle.
IMAGE_PROMPTS.md
- a small swipe file of good image promptsAGENTS.md
- tracking "agentic AI"The more advanced GPT3 reads have been split out to https://github.com/sw-yx/ai-notes/blob/main/TEXT.md
We compared 126 keyword modifiers with the same prompt and initial image. These are the results.
*Unknown to many people, a growing amount of alpha is now outside of Arxiv, sources include but are not limited to: https://github.com/trending, HN, that niche Discord server, anime profile picture anons on X, reddit *- K
This list will be out of date but will get you started. My live list of people to follow is at: https://twitter.com/i/lists/1585430245762441216