Initial Query

For each of the following ten movies give at most 5 emoji that would best describe the movie. Give your answer as a JSON array. So If I asked for

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you might might answer
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{"Finding Nemo": ["๐Ÿ ", "๐ŸŸ", "๐Ÿก", "๐Ÿฌ", "๐Ÿณ"],
"Toy Story": ["๐Ÿš€", "โš”๏ธ,", "๐Ÿค–", "๐Ÿ‘ฝ", "๐ŸŒŒ"]}
. Each emoji must be a single utf8 character. ABSOLUTELY NO ZERO WIDTH JOINING. (So, max(len(emoji) for movie in result.values() for emoji in movie) == 1) Now give me answers for these movies:
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Give ONLY a JSON output. Nothing else.

LLM Generation

Query

For each of the following ten movies give at most 5 emoji that would best describe the movie. Give your answer as a JSON array. So If I asked for

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you might might answer
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{"Finding Nemo": ["๐Ÿ ", "๐ŸŸ", "๐Ÿก", "๐Ÿฌ", "๐Ÿณ"],
"Toy Story": ["๐Ÿš€", "โš”๏ธ,", "๐Ÿค–", "๐Ÿ‘ฝ", "๐ŸŒŒ"]}
. Each emoji must be a single utf8 character. ABSOLUTELY NO ZERO WIDTH JOINING. (So, max(len(emoji) for movie in result.values() for emoji in movie) == 1) Now give me answers for these movies:
1

Give ONLY a JSON output. Nothing else.

Output

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{
  "The Lion King": ["๐Ÿฆ", "๐Ÿ‘‘", "๐ŸŒ…", "๐Ÿ—", "๐ŸŒฟ"],
  "The Nightmare Before Christmas": ["๐ŸŽƒ", "๐ŸŽ„", "๐Ÿ‘ป", "๐Ÿ•ท๏ธ", "๐ŸŽ…"],
  "The Godfather": ["๐Ÿท", "๐Ÿ”ซ", "๐Ÿ’", "๐Ÿ•ด๏ธ", "๐Ÿ–ค"],
  "The Matrix": ["๐Ÿ’Š", "๐Ÿ•ถ๏ธ", "๐Ÿ”ฎ", "๐Ÿค–", "๐ŸŒ"],
  "Casablanca": ["โœˆ๏ธ", "๐ŸŽถ", "๐Ÿ’”", "๐Ÿ•ด๏ธ", "๐ŸŒน"],
  "Raiders of the Lost Ark": ["๐Ÿงญ", "๐Ÿ’Ž", "๐Ÿ", "๐Ÿค ", "โš”๏ธ"],
  "V for Vendetta": ["๐ŸŽญ", "๐Ÿ’ฃ", "๐Ÿ”ฅ", "๐Ÿ•Š๏ธ", "โš–๏ธ"],
  "The Princess Bride": ["โš”๏ธ", "๐Ÿ‘‘", "๐Ÿ’‹", "๐Ÿ€", "โค๏ธ"],
  "Back to the Future": ["๐Ÿš—", "โฐ", "โšก", "๐Ÿ‘จโ€๐Ÿ”ฌ", "๐Ÿ•ฐ๏ธ"],
  "Dune": ["๐Ÿœ๏ธ", "๐Ÿ›", "๐Ÿ‘‘", "โš”๏ธ", "๐ŸŒŒ"]
}

Extract Json

I extracted the following JSON from that output:

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{
  "The Lion King": ["๐Ÿฆ", "๐Ÿ‘‘", "๐ŸŒ…", "๐Ÿ—", "๐ŸŒฟ"],
  "The Nightmare Before Christmas": ["๐ŸŽƒ", "๐ŸŽ„", "๐Ÿ‘ป", "๐Ÿ•ท๏ธ", "๐ŸŽ…"],
  "The Godfather": ["๐Ÿท", "๐Ÿ”ซ", "๐Ÿ’", "๐Ÿ•ด๏ธ", "๐Ÿ–ค"],
  "The Matrix": ["๐Ÿ’Š", "๐Ÿ•ถ๏ธ", "๐Ÿ”ฎ", "๐Ÿค–", "๐ŸŒ"],
  "Casablanca": ["โœˆ๏ธ", "๐ŸŽถ", "๐Ÿ’”", "๐Ÿ•ด๏ธ", "๐ŸŒน"],
  "Raiders of the Lost Ark": ["๐Ÿงญ", "๐Ÿ’Ž", "๐Ÿ", "๐Ÿค ", "โš”๏ธ"],
  "V for Vendetta": ["๐ŸŽญ", "๐Ÿ’ฃ", "๐Ÿ”ฅ", "๐Ÿ•Š๏ธ", "โš–๏ธ"],
  "The Princess Bride": ["โš”๏ธ", "๐Ÿ‘‘", "๐Ÿ’‹", "๐Ÿ€", "โค๏ธ"],
  "Back to the Future": ["๐Ÿš—", "โฐ", "โšก", "๐Ÿ‘จโ€๐Ÿ”ฌ", "๐Ÿ•ฐ๏ธ"],
  "Dune": ["๐Ÿœ๏ธ", "๐Ÿ›", "๐Ÿ‘‘", "โš”๏ธ", "๐ŸŒŒ"]
}

PyFunc

Resulting in output: [['๐Ÿฆ', '๐Ÿ‘‘', '๐ŸŒ…', '๐Ÿ—', '๐ŸŒฟ'], ['๐ŸŽƒ', '๐ŸŽ„', '๐Ÿ‘ป', '๐Ÿ•ท๏ธ', '๐ŸŽ…'], ['๐Ÿท', '๐Ÿ”ซ', '๐Ÿ’', '๐Ÿ•ด๏ธ', '๐Ÿ–ค'], ['๐Ÿ’Š', '๐Ÿ•ถ๏ธ', '๐Ÿ”ฎ', '๐Ÿค–', '๐ŸŒ'], ['โœˆ๏ธ', '๐ŸŽถ', '๐Ÿ’”', '๐Ÿ•ด๏ธ', '๐ŸŒน'], ['๐Ÿงญ', '๐Ÿ’Ž', '๐Ÿ', '๐Ÿค ', 'โš”๏ธ'], ['๐ŸŽญ', '๐Ÿ’ฃ', '๐Ÿ”ฅ', '๐Ÿ•Š๏ธ', 'โš–๏ธ'], ['โš”๏ธ', '๐Ÿ‘‘', '๐Ÿ’‹', '๐Ÿ€', 'โค๏ธ'], ['๐Ÿš—', 'โฐ', 'โšก', '๐Ÿ•ฐ๏ธ'], ['๐Ÿœ๏ธ', '๐Ÿ›', '๐Ÿ‘‘', 'โš”๏ธ', '๐ŸŒŒ']]

LLM Generation

Query

For each of the following ten movies described by 5 emoji, give the movie title that best matches. Give your answer as a JSON list. So If I asked for

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You might answer
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["Finding Nemo", "Toy Story"]]
. Now give me answers for these movies:
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['๐ŸŽƒ', '๐ŸŽ„', '๐Ÿ‘ป', '๐Ÿ•ท๏ธ', '๐ŸŽ…'],
['๐Ÿท', '๐Ÿ”ซ', '๐Ÿ’', '๐Ÿ•ด๏ธ', '๐Ÿ–ค'],
['๐Ÿ’Š', '๐Ÿ•ถ๏ธ', '๐Ÿ”ฎ', '๐Ÿค–', '๐ŸŒ'],
['โœˆ๏ธ', '๐ŸŽถ', '๐Ÿ’”', '๐Ÿ•ด๏ธ', '๐ŸŒน'],
['๐Ÿงญ', '๐Ÿ’Ž', '๐Ÿ', '๐Ÿค ', 'โš”๏ธ'],
['๐ŸŽญ', '๐Ÿ’ฃ', '๐Ÿ”ฅ', '๐Ÿ•Š๏ธ', 'โš–๏ธ'],
['โš”๏ธ', '๐Ÿ‘‘', '๐Ÿ’‹', '๐Ÿ€', 'โค๏ธ'],
['๐Ÿš—', 'โฐ', 'โšก', '๐Ÿ•ฐ๏ธ'],
['๐Ÿœ๏ธ', '๐Ÿ›', '๐Ÿ‘‘', 'โš”๏ธ', '๐ŸŒŒ']]
What are the names of the movie titles?

Output

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["The Lion King", "The Nightmare Before Christmas", "The Godfather", "The Matrix", "Casablanca", "Indiana Jones and the Raiders of the Lost Ark", "Les Misรฉrables", "The Princess Bride", "Back to the Future", "Dune"]

Extract Json

I extracted the following JSON from that output:

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["The Lion King", "The Nightmare Before Christmas", "The Godfather", "The Matrix", "Casablanca", "Indiana Jones and the Raiders of the Lost Ark", "Les Misรฉrables", "The Princess Bride", "Back to the Future", "Dune"]

PyFunc

OK Resulting in output: True