Comments (1)
We also support the 'completion' mode (for non-OpenAI models), this can be done by changing the meta prompts to meta_prompts_completion
Regarding supporting more methods to enforce the structure, we would like to integrate libraries such as LM Format Enforcer
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Related Issues (18)
- Classification metrics can't handle a mix of unknown and multiclass targets HOT 1
- At least one label specified must be in y_true HOT 4
- A small problem encountered in the use of HOT 10
- Hope to support gemini HOT 1
- Source LLMs HOT 4
- There is a big difference between the optimized prompt and the initial text prompt HOT 1
- KeyError: 'samples' HOT 3
- The message "none is not an allowed value" suggests that "none" is not an acceptable option or setting within the configuration for Azure's ChatGPT. HOT 1
- some charts are missing HOT 1
- Argilla server 404 HOT 4
- Process finished with exit code 137 (interrupted by signal 9:SIGKILL) HOT 1
- KeyError: 'samples' HOT 17
- I have a problem when i run run_pipeline.py HOT 4
- How to support Qwen? HOT 1
- Calibrated prompt generated is completely different from initial prompt. HOT 3
- Is there support for local LLM? HOT 10
- Dumped dataset should contain predictions HOT 1
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from autoprompt.