Comments (4)
Hi, you probably need to fine-tune a generator and an evaluator. The former is easier, the latter you need some negative samples, e.g. https://github.com/openai/prm800k ?
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Hi @ysymyth
I've been using ToT and came across the evaluate function in MiniCrosswordsTask. Did I miss where it's used, or is it intended for future purposes?
Thanks!
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it should be fully functional. is there any error you occur?
from tree-of-thought-llm.
Close it for now, feel free to open new ones.
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Related Issues (20)
- MiniCrosswordsTask() troubles HOT 2
- The first step of Setup(Setup OpenAI key) is not right in Google Colab ubuntu environment HOT 4
- openai.error.ServiceUnavailableError: The server is overloaded or not ready yet. HOT 5
- Open source llms HOT 1
- Text generation task is not implemented as what the paper shows HOT 2
- MiniCrosswords performance HOT 6
- How to use custom inputs? HOT 1
- 'value_prompt' and function 'propose_score'
- how to get the value HOT 1
- Marketing suggestion for your idea HOT 1
- A Missing Default Argument in MiniCrosswordsTask HOT 1
- Run time
- Inquiry on the Game 24 result of Tree-of-Thought HOT 1
- 'TextTask' object has no attribute 'propose_prompt_wrap' HOT 1
- Bypassing Maximum 4097 Tokens. HOT 2
- do support qwen models from vllm HOT 1
- propose_prompt and value_prompt independently use? HOT 1
- Requirement check missed in the evaluation of the text task HOT 1
- [question] '3 3 8 8' (idx = 1349 in the data 24.csv) seems unsolvable for the game of 24?
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