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  1. J

    Understanding Make: beginner tips and data quality

    A practical understanding of Make starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is beginner tips. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...
  2. J

    Understanding DeepSeek Models: quality versus speed and getting started

    A practical understanding of DeepSeek Models starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is quality versus speed. Define what a good result looks like before changing tools or settings, then test one variable at a...