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Free Pascal and BLAS offer faster matrix multiplication for AI development

A user explored the performance of Python for AI tasks, noting its slowness but acknowledging the extensive AI ecosystem as its primary advantage. They conducted a test comparing Free Pascal and BLAS for matrix multiplication, finding it significantly faster than Python-based libraries like NumPy and PyTorch. This performance has inspired them to develop a small language model using Free Pascal, BLAS, and NNUE. AI

影响 Explores alternative, faster programming stacks for developing smaller language models.

排序理由 The item is an opinion piece discussing programming language choices for AI development.

在 Mastodon — sigmoid.social 阅读 →

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Free Pascal and BLAS offer faster matrix multiplication for AI development

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  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Why do people use # python , a glue language, which is so slow? The only reason is the AI ecosystem. # Copilot and I just tested Free Pascal and BLAS for its sp

    Why do people use # python , a glue language, which is so slow? The only reason is the AI ecosystem. # Copilot and I just tested Free Pascal and BLAS for its speed without using # numpy or # pytorch . The result is amazing. It took less than a second to do a 1024x1024 # matrix mu…