Einstein summation lets us write an algebric expression in index-notation and have numpy/pytorch/jax generate the most effiecient set of tensor operations to compute it. The only cons is that it can be confusing and comes with a learning curve. Einsum is backend agnostic tho, i.
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I have always struggled with Depth First Search, DFS. I now have started solving it using first principles and it has started to make sense. DFS can be solved using two methods: Recursive solution Iterative solution, using stacks To solve recursively we must keep few things in our mind:
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There is plethora of research happening all around us and in the recent times the incoming number of research papers have increased by quite a number. This raises a question on how to find a good paper and give it a read.
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Meta LLaMA, Stanford Alpaca, PaLM, OpenAI GPT-4. This week has been crazy. The previous week started with the storming LLaMA release from the Meta which advanced to weight leaks on the torrent. Then Stanford released the Alpaca model fine tuned from the LLaMA 7B model on 52K instruction-following demonstrations.
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Hello, World #include <iostream> using namespace std; int main() { cout << "Hello, World!" << endl; return 0; }

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