Would be great to see time spent per task per model. Especially since article references 390+ tokens per second for GLM5.2.
It mostly revolves around; understanding your primary business concept that write operations revolve around (aggregate root) and duplicating data for different read scenarios (view models). For example imagine you have…
My current company uses Postgres by default and we have a lot of different usecases. Again, another million+ users company with 10+ countries. It does indeed scale. The problem is how people think about SQL vs K/V. They…
I've found out key/value databases pushes for better architectural designs in enterprise environments. Especially in companies where different teams are responsible for a given business capability and it needs to scale…
Would be great to see time spent per task per model. Especially since article references 390+ tokens per second for GLM5.2.
It mostly revolves around; understanding your primary business concept that write operations revolve around (aggregate root) and duplicating data for different read scenarios (view models). For example imagine you have…
My current company uses Postgres by default and we have a lot of different usecases. Again, another million+ users company with 10+ countries. It does indeed scale. The problem is how people think about SQL vs K/V. They…
I've found out key/value databases pushes for better architectural designs in enterprise environments. Especially in companies where different teams are responsible for a given business capability and it needs to scale…