(no title)
rodolphoarruda | 2 months ago
I'm seeing a lot of AI firms building value added services on top of big tech "foundational" AI offerings. Value addition can start very early at a clear plans/billing structure, going through rate limiting, documentation and extra features that will bring stability or consistency to our AI enhanced products.
Going the other way around (I tried) and building things on top of big tech AI is challenging starting at the fundamentals as the OP described well.
wongarsu|2 months ago
On the other hand I think it's fair to criticize the model hosts for not offering the same
numlocked|2 months ago
But there's a lot more functionality that becomes relevant when building in production. We do automatic fallbacks, route between providers based on data policies, syndicate your data to agent observability tools / your logging platform of choice, user-level and api-key-level budget management and model allow/block lists, programmatic API key management, etc, etc. More good stuff shipping all the time!