framework for detecting hallucinations in LLM chain-of-thought reasoning. Features synthetic data corruption, transformer-based classifiers, Streamlit UI, and FastAPI backend.
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Updated
Oct 12, 2025 - Python
framework for detecting hallucinations in LLM chain-of-thought reasoning. Features synthetic data corruption, transformer-based classifiers, Streamlit UI, and FastAPI backend.
Python Streamlit app bringing together several software programs to facilitate calculations in biology (western blot, RT-qPCR, Venn diagram, transfection)
A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode
AI-powered Streamlit app for summarizing Reddit posts and comparing the outputs of two transformer models: BART and T5-Large
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