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How it uses Jev

At each generation step, Jev scores a question about the user's prompt and the reply emitted so far, choosing among an alphabet plus a stop option. A sampler draws the next symbol from the returned distribution and appends it.

What Jev decides

Illustrative Jev requestExample answers · not a recorded Jev response · Source ↗
Question 1 · next symbol
YOUR APP
INSTRUCTION

Append one option to answer_so_far. Choose the option that makes the result a valid prefix of a grammatical, factually correct English answer; choose STOP only when the question is complete.

STATE

Task/question, conversation if present and partial reply; configured lower26 alphabet.

JEV · CHOICE
  1. a
  2. b
  3. c
  4. d
  5. e
  6. f
  7. g
  8. h
  9. i
  10. j
  11. k
  12. l
  13. m
  14. n
  15. o
  16. p
  17. q
  18. r
  19. s
  20. t
  21. u
  22. v
  23. w
  24. x
  25. y
  26. z
  27. STOP

App workflow

  1. Build the next-symbol question

    Combine the original prompt with the partial reply and present the configured symbol options and stop option.

  2. Sample a symbol

    Use Jev's option probabilities with the selected sampling strategy to draw the next symbol.

  3. Continue or stop

    Append the symbol and repeat until the stop option is selected.

Why it is interesting

It turns a classifier-style decision interface into a character or token sampler, with alternate alphabets and search strategies that make the tradeoffs inspectable.