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Cosine Similarity for 1 Trillion Pairs of Vectors Motivation ChunkDot Chunk size calculation Memory and speed Usage Conclusion

Introducing ChunkDotpip install -U chunkdotCalculate the 50 most similar and dissimilar items for 100K items.import numpy as npfrom chunkdot import cosine_similarity_top_kembeddings = np.random.randn(100000, 256)# using all you system's memorycosine_similarity_top_k(embeddings, top_k=50)# most dissimilar items using...

Public-private joint investment of greater than 2 trillion won to develop core robot technology

The federal government will invest greater than 2 trillion won over 5 years in cooperation with private firms to secure core technologies for the robot industry. The Ministry of Trade, Industry and Energy (Minister Lee...

UK plans to take a position 1.43 trillion won in supercomputer construction

The British government is investing £900 million (about 1.43 trillion won) to construct a state-of-the-art supercomputer. It is a component of a synthetic intelligence (AI) technique to construct an independent 'BritGPT'. The Guardian reported...

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