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- AutoML will perform most of the model development [ This will occur within the next 5 years or even less]. - Custom chips will perform the inference and prob
by streetcat1 7y ago
- AutoML will perform most of the model development [ This will occur within the next 5 years or even less].
- Custom chips will perform the inference and probably the training. For example, Tesla managed to create a chip, which is 10x cheaper than a GPU for training.
- There will be some breakthrough that will combine logic and stat. This would eventually lead to AGI.
- Aperocky 7y ago> AutoML will perform most of the model development [ This will occur within the next 5 years or even less]. Similar to how languages that are 'designed for non-programmers' fared?
- streetcat1 7y agoNo. The current "no-code" tools which really have their origin in visual programming in the '80s are trying to convert icons to logic, which cannot work well. I.e. you can generate CRUD, but you cannot convert logic. The ML dev process is an optimization process and not a decomposition process (I.e. it is stateless). Instead, it is much more experimental (and hence declarative). I.e. you can define a search space, and substitute the data scientist time, with computation time. This is the idea of "software 2.0" https://www.youtube.com/watch?v=zywIvINSlaI https://www.youtube.com/watch?v=zywIvINSlaI This is how Tesla operate today for its autopilot project.
- p1esk 7y agoTesla managed to create a chip, which is 10x cheaper than a GPU for training Really? Where can I buy that chip?