Just looking at the most impactful LLM literature for this month, I am once more impressed by the importance of LLaMA for research: LIMA, Goat, QLoRA, ...
Clearly, LLaMA is the most valuable LLM model for innovation this year, and it underlines the importance of open source.
An entire garden, without a single grain of soil, sand or compost. And with a lot of ingenuity
Aeroponics is the process of growing plants in the air or mist environment without soil or an aggregate medium.
[πΉ studybrain7: https://t.co/rsqkA5P6h6]
Yes, thanks! I've been trying to convince people that finetuning LLMs is *the way* to get better modeling performance for months now!
Finally some more official evidence.
MMS: Massively Multilingual Speech.
- Can do speech2text and text speech in 1100 languages.
- Can recognize 4000 spoken languages.
- Code and models available under the CC-BY-NC 4.0 license.
- half the word error rate of Whisper.
Code+Models: https://t.co/NIGfUZ8KZg
Paper: https://t.co/W15aEWHGIR
Blog: https://t.co/TFKXFtlPwc
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