A Visual Journey Through How Language Models Think
Prompt engineering feels like more art than science, but learning some of these techniques helps boost the science. Thanks for sharing!
I love telling the LLM it's an expert prompt engineer and have it help me write my prompts ♻️
Great thinking ;)
nice explainers!
since prompt is what positions ctx vector in the initial space, i think that explains why certain methods work
would like your opinion on perpspective
if interested:
https://gist.github.com/tms1337/317770478f9e3f038e187dcecd62d2bb
thanks!
Thanks for this. Some people can learn to write good prompts by memorizing a list of rules. But for some of us it's important to understand the "Why".
That is a great comment, and this is exactly why I write these kind of posts :)
Prompt engineering feels like more art than science, but learning some of these techniques helps boost the science. Thanks for sharing!
I love telling the LLM it's an expert prompt engineer and have it help me write my prompts ♻️
Great thinking ;)
nice explainers!
since prompt is what positions ctx vector in the initial space, i think that explains why certain methods work
would like your opinion on perpspective
if interested:
https://gist.github.com/tms1337/317770478f9e3f038e187dcecd62d2bb
thanks!
Thanks for this. Some people can learn to write good prompts by memorizing a list of rules. But for some of us it's important to understand the "Why".
That is a great comment, and this is exactly why I write these kind of posts :)