I think what I really want is turn-key fine tuning for existing foundational models. But honestly, even that is probably 2 years away before it is really a viable business. We lack sufficiently vetted commercial license foundational models. We lack sufficiently available and moderated diverse datasets for fine-tuning. We probably lack sufficient businesses to take the early adopter risk.
I'm planning an all-in strategy with AI but I believe the next 2 years will be lean. Hopefully by then the price for fine-tuning will have come down enough for medium sized businesses outside of the early adopter niche to give it a try. We'll have a couple of rounds of failures and successes so most people will have a decent roadmap to building successful products (and avoiding complete failures). We should also have a significant ecosystem of options in both OSS and commercial variations.
I feel like this is equivalent to the Internet in 1998. We're looking at the Yahoo's, the AOLs, and the Pets.com crop of businesses. But things won't really heat up for a while. Still plenty of time to grow into this space.
I'm planning an all-in strategy with AI but I believe the next 2 years will be lean. Hopefully by then the price for fine-tuning will have come down enough for medium sized businesses outside of the early adopter niche to give it a try. We'll have a couple of rounds of failures and successes so most people will have a decent roadmap to building successful products (and avoiding complete failures). We should also have a significant ecosystem of options in both OSS and commercial variations.
I feel like this is equivalent to the Internet in 1998. We're looking at the Yahoo's, the AOLs, and the Pets.com crop of businesses. But things won't really heat up for a while. Still plenty of time to grow into this space.