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Nowadays, llama.cpp is a truly awesome project, but as it supports more and more features, some concepts might be quite confusing for newcomers who haven't been exposed to related fields before.
So I shifted my focus to learning the fundamental concepts related to GGML. However, since I initially lacked a clear and accurate understanding of concepts like “context, tensor, and backend” I ended up spending a lot of time trying to grasp them.
After gaining an understanding of the concepts by reading the source code, I realized that GGML and llama.cpp are truly meaningful and impressive projects. So, would it be possible to add some basic framework tutorials to help more motivated newcomers participate more easily?
I think that doing so could enable llama.cpp and GGML reach a broader stage.
The text was updated successfully, but these errors were encountered:
It would be great, this library has a lot of potential. The simple example is a good starting point to learn the basics of GGML and how to perform a simple matrix multiplication.
Nowadays, llama.cpp is a truly awesome project, but as it supports more and more features, some concepts might be quite confusing for newcomers who haven't been exposed to related fields before.
So I shifted my focus to learning the fundamental concepts related to GGML. However, since I initially lacked a clear and accurate understanding of concepts like “context, tensor, and backend” I ended up spending a lot of time trying to grasp them.
After gaining an understanding of the concepts by reading the source code, I realized that GGML and llama.cpp are truly meaningful and impressive projects. So, would it be possible to add some basic framework tutorials to help more motivated newcomers participate more easily?
I think that doing so could enable llama.cpp and GGML reach a broader stage.
The text was updated successfully, but these errors were encountered: