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Jev in 25 Lines of Python

2 days ago
  • Jev is presented as a simple classification method implemented in 25 lines of Python using a local GGUF model and llama-cpp-python.
  • The example classifies an email as Legitimate, Spam, or Phishing by converting logits to probabilities.
  • The post contrasts this minimal approach with more complex frameworks like System One, API calls, synthetic data, or RLCD training.
  • It emphasizes speed, locality, and privacy—no data is sent externally.
  • The post is a parody and provides links to more complete open-source implementations of Jev.
  • It promotes the open-source work of NobodyWho, encouraging GitHub stars.