I'm a Data Scientist at John Snow Labs, working on improving and contributing to Spark NLP. From building scalable data pipelines to training deep learning models, I thrive at the intersection of data engineering and machine learning. With 2 years of experience in big data and an ongoing MS in Computer Science at University of California, San Diego, I’ve tackled challenges in NLP, ML, and retrieval-augmented generation projects. Beyond the code, I love mentoring others, simplifying complex ideas, and constantly pushing my learning boundaries.
RAG is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside its training data before generating a response. It has...
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