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If you invented the transformer but didn't have trillions of tokens to train it with, no chatGPT. But if you had Mamba/RWKV/SSSM and trillions of tokens you wou
by visarga 3y ago
If you invented the transformer but didn't have trillions of tokens to train it with, no chatGPT. But if you had Mamba/RWKV/SSSM and trillions of tokens you would have almost the same thing with chatGPT.
The training set is magical. It took humanity a long time to discover all the nifty ideas we have in it. It's the result of many generations of humans working together, using language to share their experience. Intelligence is a social process, even though we like to think about keys and queries, or synapses and neurotransmitters, in fact it is the work of many people that made it possible.
And language is that central medium between all of us, an evolutionary system of ideas, evolving at a much faster rate than biology. Now AI have become language replicators like humans, a new era in the history of language has begun. The same language trains humans and LLMs to achieve similar sets of abilities.
- HarHarVeryFunny 3y agoI agree about language - which might be though of as "thought macros". Human experience has taught us what things (objects, actions, etc) are worth labelling, what thought patterns are useful to reason about them, etc. Being able to reason about things in the realm of, and using the patterns of, human language is tremendously powerful. Are there any Mamba benchmarks that show it matching transformer (GPT, say) benchmark performance for similiar size models and training sets?
- visarga 3y agoI don't think there are Mamba LLMs larger than 2.8B at the moment. But here a crop of papers building on it, mostly vision applications: https://trendingpapers.com/search?q=mamba https://trendingpapers.com/search?q=mamba