[Project Addition]: LLM Prompt Recovery

[adi271001]

Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : LLM Prompt Recovery using gemma

🔴 Aim : Find the prompt used to transform given text using gemma

🔴 Dataset :https://www.kaggle.com/competitions/llm-prompt-recovery/data

🔴 Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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🔴🟡 Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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✅ To be Mentioned while taking the issue :

• Full name : Aditya D
• GitHub Profile Link : https://github.com/adi271001
• Email ID : ibetanibex@gmail.com
• Participant ID (if applicable): NA
• Approach for this Project : data preprocessing and cleaning , configuring , using gemma to make a model fine tune using lora model and testing uding part of dataet
• What is your participant role? (Mention the Open Source program) GSSOC

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[abhisheks008]

Apart from gemma what are the models you are planning for this problem statement as you need to implement 3 models for this problem statement.

[adi271001]

Mistral and phi

[abhisheks008]

Hi @adi271001 make sure you implement Gemma, Mistral and Phi for this project.

Assigned to you.