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> Want to solve a real problem, help me create custom benchmarks, clean my data, get my small parameter model to reason better etc.

I recently started a company with a friend if mine to do exactly this.

Ive worked at a few AI startups over the last 8 years, and the problem everyone tackles independently (and poorly) is the long tail of dealing with input data that isn't great. You build a demo with sample data that works well, then you move on to real world uses and the data is suddenly... blehg.



Ah. Cleaning data. The big trick going back to data warehousing.


When you know the underlying consumer is an AI model, you can do a lot more to make the input data useful.


What are some examples of data theyre trying to use as input?




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