82 karma · joined July 8, 2022
[0] https://storage.googleapis.com/deepmind-media/AlphaCode2/Alp...
[0] https://www.nytimes.com/2019/06/23/business/media/stream-cla...
ps: ~280W power limit is a good call, it won't heat up your room too much.
1. For BERT scale model, all you need is a good codebase from GitHub (I had some luck with this one [0]) and a few weeks of trial and error. Want to try training T5 or LLaMA, but don't have the resources needed. Of course training models with more than 100B parameters is another level of labyrinth.
2. Finetuning is mostly related to how well you understand the task and the data you are dealing with. Since the BERT paper focuses on the GLUE benchmark, I've become very proficient in fine-tuning GLUE and eventually got sick of it.
3. Made some architectural improvements to BERT, got decent results so I wrote a paper, and got rejected because the reviewers want a head-on evaluation against some well funded papers from Google.
4. Not in my country. Damn, I am envious.
Let's see how this will pan out
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What I got using your prompt.Raw shrimp: crunchy and fresh, not as sweet as fish
Sushi grade raw egg available in my region: the white is smell-less slime with a tiny little bit of taste, the yolk has a mellow sweetness, I can understand why Japanese pair it with rice.
> We know that every fish is a trade-off between omega-3 content and toxic content like PCBs. From the perspective of salmon in general, the balance favors consumption of that fish. Now the challenge here is that I can’t tell which salmon is farmed the right way or the wrong way.
[0] https://en.wikipedia.org/wiki/Aquaculture_of_salmonids#Issue...
Deep physical neural networks trained with backpropagation https://www.nature.com/articles/s41586-021-04223-6