Promptify
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Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Hello @monk1337 , Can you kindly have a look? I used the code from the documentation. ![image](https://user-images.githubusercontent.com/89684855/235833305-42968aeb-612f-4b9d-9fde-e0ba6517c7ce.png)
Hello ! Can we add more few shots when we are doing a request? Right know I have a list with 1000 examples and when I;m trying to do this...
Add local model support in /models/inference/ to work with ner, question-answering etc prompts
- [x] Custom template support, - [ ] Azure platform support, - [x] GPT-3.5 support with more features - [ ] Word sense disambiguation, - [ ] Hugginface local model...
Branch - large-refactoring https://github.com/promptslab/Promptify/tree/large-refactoring - [x] Base model with rate error and retry handling - [x] Mock Model - [x] Test Cases for Base Model using Mock model - [x]...
I want to classify my text into multiclass with confidence percentage and want this following result into json format only. Can someone help in editing the repo specific files.
As mentioned in the code I executed the code and downloaded everything from requirements.txt other codes are working but # Code for Relation Extraction ``` result= nlp_prompter.fit('relation_extraction.jinja', domain = 'clinical',...
Contributions & PRs are welcome - [ ] sentiment analysis - [x] named entity recognition - [x] text classification - [ ] topic modeling - [x] summarization - [ ]...
The prompt variables are obtained in real-time when calling the `fit` function in the previous implementation. It might be inefficient because the `fit()` tends to be called multiple times in...