Often it is easier to get a business to pay a consulting fee for a specific thing rather than make a donation that goes into a general funding pool for a project.
Often it is easier to get a business to pay a consulting fee for a specific thing rather than make a donation that goes into a general funding pool for a project.
This leaves me with two choices:
1. Help narrowly, with the Gensim part only. Pros: easy for me. Cons: doesn't truly help the customer; feels dirty.
2. Help solve their actual business problem. Even if it means not using ML at all (a very common outcome), or suggesting a different architecture.
In my experience, most companies are so lost as to what to expect from ML, or how to get there, that I didn't feel comfortable with the "narrow" help. Lipstick on a pig.
So I went the full consulting route for a few years. But that felt too draining so I dropped it and created a product instead.