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OpenAI transcription & LLM is likely more costly than what they're willing to splurge on this. Care to link soccer.txt, so I can try with Llama 3 / 3.1?

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Here you go: https://pastebin.com/QXzg95AV

One thing to try is only using the post-match commentary, which starts after the line containing 'final whistle.' When I did this, the result was more factually accurate, while still focusing on Morgan.

https://chatgpt.com/share/9c122702-b46f-4e5e-bd05-e063a74126...

too costly? it’s probably a few cents total

And it got the most basic detail, the score of the game, wrong. Even at the cost of only a few cents it's worthless.

seems like this is a solvable problem with just a bit more engineering effort, but yeah... totally worthless

You should just need a better prompt. I think everyone would benefit from using a standardized prompt which asks the model to think through its work between `<thought>` tags before writing its response, and also reflecting on the response between `<reflection>` tags, and then outputting the final response afterwards

Easy, just instruct the LLM to not hallucinate the score, problem solved.

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