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It doesn't seem to me that that's a problem. You just put data in and expect data out. For example, a weather continuation model could take in all the availabl
by arbuge 3y ago
It doesn't seem to me that that's a problem. You just put data in and expect data out.
For example, a weather continuation model could take in all the available weather data up to the present moment and provide a continuation of that, i.e. a weather forecast.
Likewise financial market predictions etc.
- MichaelZuo 3y agoThat's a good point, Math is just as much a communicable language as English, French, Japanese, etc... maybe even more so according to some formal definitions.
- BreadPants 3y agoHow about a multi-headed approach. LDMs specializing in certain data operating under one LLM that acts as our point of access?
- T-A 3y ago> a weather continuation model could take in all the available weather data up to the present moment and provide a continuation of that And it turns out to work really well: https://arxiv.org/abs/2212.12794 https://arxiv.org/abs/2212.12794 predicts hundreds of weather variables, over 10 days at 0.25 degree resolution globally, in under one minute