Idk, I've never heard of it.

Sure:

1. Suppose you had 1 million embeddings of sentences, and one vector you want the closest sentence to. If the vectors were a single number, you could just do a binary search, and you'd be done. If they are higher dimensionality, it's a lot more involved. Pinecone is a paid product doing this. Faiss is a library by facebook, which is very good too, but is free.
2. Recently, Facebook released the LLama models. They are large language models. ChatGPT is also a LLM, but after pretraining on a text corpus, you train it with human instructions, which is costly and time-consuming. Stanford took the LLama models, and trained them with ChatGPT. The result is pretty good not AS good, but pretty good. They called it "Alpaca".

You could use faiss instead of pinecone and alpaca instead of gpt-4

There's a bunch.

Neural MMO - runs every few months on different conferences

https://www.aicrowd.com/challenges/neurips-2022-minerl-basalt-competition

https://real-robot-challenge.com/

Jesus, at least label the axes...