Breaking Up With Flask & FastAPI: Why ML Model Serving Requires A Specialized Framework
Tim Liubentoml.com
Breaking Up With Flask & FastAPI: Why ML Model Serving Requires A Specialized Framework
My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers.
App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to apply the analogy of "fast startup, slow... See more
Yishanx.comPeople need to be more thoughtful building products on top of LLMs. The fact that they generate text is not the point.
thesephist.comstream.thesephist.comTop considerations when choosing foundation models
Accuracy
Cost
Latency
Privacy
Top challenges when deploying production AI
Serving cost
Evaluation
Infra reliability
Model quality
Accuracy
Cost
Latency
Privacy
Top challenges when deploying production AI
Serving cost
Evaluation
Infra reliability
Model quality