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Where are these default definitions provided? You might just be providing a distinction (the embedding is not part of the LLM training), when you can use LLMs to build embeddings; they might just not be the most efficient way to do it.
– Yakk
Commented Apr 16 at 19:23
@Yakk Ultimately embeddings come from a learned one-to-one mapping between words and embeddings. Sometimes the mapping is learned at the same time as the rest of the network. Sometimes it uses a pretrained model like Word2Vec link. Importantly though the "mapping" between words and embeddings only ever takes in the word as input, never the context.
– LivesayEngineer
Commented Apr 17 at 15:21

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create code fences with backticks ` or tildes ~
```
like so
```
add language identifier to highlight code
```python
def function(foo):
print(foo)
```
put returns between paragraphs
for linebreak add 2 spaces at end
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quote by placing > at start of line
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