Comparative NER study: Regex vs spaCy vs DSPy LLM. Measures precision, recall, F1, cost, and latency across synthetically generated records with Streamlit dashboard.
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Updated
Feb 12, 2026 - Python
Comparative NER study: Regex vs spaCy vs DSPy LLM. Measures precision, recall, F1, cost, and latency across synthetically generated records with Streamlit dashboard.
Generates plain-language narratives from R statistical objects, model output, ggplot figures, and datasets, via any LLM that the `ellmer` package supports.
AI in Banking Application showcases how artificial intelligence improves banking services through fraud detection, customer support, risk analysis, and automated decision-making
Production-ready Financial NLP Pipeline: Fine-tuning FinBERT with LoRA (PEFT) for 98% accuracy. Features automated evaluation & Power BI observability dashboard.
Language Modeling & Spelling Correction
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