FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)

Finetune Web UI is a user-interface for training and deploying pre-trained models.

A program that helps collecting, curating and exporting OpenAI fine-tune data

This project aims to automate the extraction of papers from OpenReview for recent ML conferences. The scraped data will be structured into a dictionary containing detailed metadata for each paper. Then, we will fine-tune an OpenAI model to predict the final decision based on submission details, reviewer comments, and scores.

This project takes an image of a Sinhala A/L Information Technology (IT) flowchart question, translates it to English, uses a fine-tuned GPT-2 model to understand the logic, and then creates a visual flowchart using Graphviz. It includes OCR, Google Translate, and a user-friendly Streamlit interface.

Create a dataset to finetune OpenAI's GPT models through a user-friendly UI and validate the jsonl file with token usage analytics