want to understand how llms work? 

☺︎
↓

llms, explained with a minimum of math and jargon

want to understand how llms work? 

☺︎
↓

llms, explained with a minimum of math and jargon
https://www.understandingai.org/p/large-language-models-explained-with

Two Q's if you don't mind...

1: Are "word vectors" & "embeddings" the same? Any reason to use the former vs the latter?

2: I read somewhere that word vectors remain largely the same across languages. Does this make word vectors a "universal language?" This would have wild religious / philosophical implications. 🙏

ᴀᴜᴅɪᴏᴠɪꜱᴜᴀʟ - 𝚠𝚛𝚒𝚝𝚎𝚛 - 𝔅𝔢𝔯𝔩𝔦𝔫

https://lilinter.net
https://newmodels.io
https://channel.xyz

1. yes, “word vectors” and “embeddings” generally refer to the same concept, w/ “embeddings” being a broader term that can also apply to other types of data beyond words.

2. cross-lingual embeddings link languages but can’t fully bridge linguistic & cultural gaps since they represent concepts / relationships mathematically rather than fully capturing the depth & nuance of human languages.