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cluebbers/README.md

Hello, I am Christopher L.

I use high-performance computing (HPC) and machine learning to build robust, trustworthy AI systems. My work focuses on AI safety, paraphrase generation, evaluation metrics, and large-scale data analytics.

Research Interests

  • AI safety and security
  • Deep learning and NLP
  • High-performance computing

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  1. dpo-rlhf-paraphrase-types dpo-rlhf-paraphrase-types Public

    Enhancing paraphrase-type generation using Direct Preference Optimization (DPO) and Reinforcement Learning from Human Feedback (RLHF), with large-scale HPC support. This project aligns model output…

    Jupyter Notebook

  2. Using_R_for_HPDA Using_R_for_HPDA Public

    Exploring R for high-performance data analytics, including memory management, GPU computing, parallel processing, benchmarks, case studies, and comparisons with Python.

  3. Reproducibility-METEOR-NLP Reproducibility-METEOR-NLP Public

    Investigates the reproducibility of METEOR scores in scientific papers. Includes a systematic literature review and validation of METEOR implementations.

    Jupyter Notebook 1

  4. NLP_DeepLearning_Spring2023 NLP_DeepLearning_Spring2023 Public

    Implementing and fine-tuning BERT for sentiment analysis, paraphrase detection, and semantic textual similarity tasks. Includes code, data, and detailed results.

    Python