Kurtis is a fine-tuning, inference and evaluation tool built for SLMs (Small Language Models), such as Huggingface's SmolLM2.
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Updated
May 15, 2025 - Python
Kurtis is a fine-tuning, inference and evaluation tool built for SLMs (Small Language Models), such as Huggingface's SmolLM2.
Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data (https://arxiv.org/abs/2310.00448)
UltimateMedLLM-Llama3-8B is a specialized medical question-answering system built by fine-tuning Meta's Llama 3 8B model using parameter-efficient techniques.
Fully automated system that generates questions and answers from various input sources—including PDF, TXT, MP3, ENEX, MP4, DOCX, PNG, JPG, PPTX, EPUB, JPEG, MPEG4, URL, YouTube, Spotify, Wikipedia, or direct text input—allowing users to solve questions within an interface and then receive a detailed report of their performance
This repository implements a question-answering system using Gradio's lower-level API, featuring two input fields for context and user questions. The system utilizes the deepset/roberta-base-squad2 model and provides a user-friendly interface for model interaction.
Extracting Emotion-Cause Pairs from Conversations: A Two-Step Approach Using Emotion Classification and QA Models
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