generative-ai-for-beginners VS FASTER

Generative AI For Beginners: a collection of resources to learn about Generative AI, including tutorials, code samples, and more.

https://github.com/microsoft/generative-ai-for-beginners/

Create an issue at https://github.com/microsoft/generative-ai-for-beginners. There is a call to action for feedback and looks like at least one of the contributors are in education, so will probably take the feedback on board.

You would be surprised by performance of modern .NET :)

Writing no-alloc is oftentimes done by reducing complexity and not doing "stupid" tricks that actually work against JIT and CoreLib features.

For databases specifically, .NET is actually positioned very well with its low-level features (intrisics incl. SIMD, FFI, struct generics though not entirely low-level) and high-throughput GC.

Interesting example of this applied in practice is Garnet[0]/FASTER[1]. Keep in mind that its codebase still consist of un-idiomatic C# and you can do way better by further simplification, but it already does the job well enough.

[0] https://github.com/microsoft/garnet

[1] https://github.com/microsoft/FASTER

A vaguely similar project that might be of interest is: https://github.com/microsoft/FASTER

It's also an "unbundled" low-level component that one could use as the foundation for a database engine or whatever. According to Microsoft, FASTER is not just "fast", but significantly faster than even some basic in-memory data structures that ship in the .NET standard library!

The downside is that it doesn't (yet) support some more advanced features like multi-server distributed mode.

However, that relative simplicity may be preferred in some scenarios...

Last time i looked into it there weren't that many i could find. There is https://github.com/tikv/tikv which uses rocksdb with raft. and there is faster https://github.com/microsoft/FASTER/ .

you could use fasterkv https://github.com/microsoft/FASTER

FTA, https://github.com/Microsoft/FASTER/wiki/Performance-of-FAST...