Fabrice Bellard did something with neural nets and a transformer model [1] that was very successful.
I suspect that LLMs wouldn't be ideal to use as compressors, because they are large, consume a lot of resources, and are constantly changing. You need the model to produce exactly the same output at encoding and decoding time, or else you get gibberish.
I suspect that LLMs wouldn't be ideal to use as compressors, because they are large, consume a lot of resources, and are constantly changing. You need the model to produce exactly the same output at encoding and decoding time, or else you get gibberish.
[1] https://bellard.org/nncp/