Submitted by floppy_llama t3_1266d02 in MachineLearning
currentscurrents t1_jean0il wrote
Reply to comment by saintshing in [R] LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention by floppy_llama
Other researchers are working on an LLM for whales.
Looks feasible to me, whale calls are no more alien to the computer than English is. The hard part is collecting enough data.
DigThatData t1_jeb49b8 wrote
this is probably not a concern for whale vocalizations, but an issue for attempting to decode animal communications generally via LLMs is that they're probably communicating as much information (if not more) non-vocally. for example, if we wanted to train an LLM to "understand" dog communication, it'd probably be more important to provide it with signals corresponding to changes in body and face pose than vocalizations. interesting stuff in any event.
currentscurrents t1_jeb4shv wrote
Yeah, I think that's why they're starting with whales - they're an easy subject since their vocalizations can be heard through the water from miles away. They also seem to have a fairly complex vocal language, unlike for example songbirds with memorized mating calls.
Koda_20 t1_jecddbs wrote
I feel like they are starting with whales because it generates more publicity because Nemo lol
They are probably not but I thought it was funny
tvetus t1_jebkax4 wrote
Did you see the paper on voice to voice for talking with whales?
currentscurrents t1_jebm09t wrote
No, do you have a link?
Viewing a single comment thread. View all comments