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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

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

RANK_REASON The item is an opinion piece discussing programming language choices for AI development.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Free Pascal and BLAS offer faster matrix multiplication for AI development

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The item is an opinion piece discussing programming language choices for AI development.
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147 days old
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COVERAGE [1]

  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…