Hey guys, I found a project on GitHub and hacker news and I believe it explains LLMs in the best possible way.
This explains tokens, vectors, vocabulary and transformers in a visual presentation. Just beautiful and also have the full view of GPT-3
In simple words, GPT or LLMs are like parrots. They learn from a lot of text data and then predict the next word based on the previous ones. They don't understand language like us humans, they just mimic patterns. It's like a kid who memorizes multiplication tables but doesn't understand multiplication. They are helpful but can't replace human understanding.
@SuperSaiyanGoku Nice resource by the way. Nano-GPT architecture representation is very interesting but for most people my explanation will suffice lmao.
I don’t think so. Even Linus, the creator of Linux, says it’s becoming more than just a parrot or mimic because it’s starting to have world building understanding.
I mean even if we ask simple things it understands the concept of gravity, buoyancy and more without explicitly specifying. It’s starting to understand the world in the eyes of a toddler but improving very very fast
Prediction below, open to feedback and criticism:
As soon as GPT can learn programming languages through self reinforcement learning, it will become invincible and you will be able to create webapps at negligible cost by just giving it ...
Try Transformer Explainer live demo: https://poloclub.github.io/transformer-explainer/
Could be large company like Infosys or some startups
Yeah, you heard it right. Whatever these “gurus” and course scammers are shilling in the name of prompt engineering and crores of salary is 💩.
Heads up, companies are already working on augmenting prompts using Natural Language Generat...
