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scholars in all areas of Buddhist Studies whose research interests would complement and augment the work of our current faculty and graduate students, and whose work promises to significantly contribute
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learning, parameter-efficient fine-tuning methods such as LoRA and adapter-based tuning, and retrieval-augmented generation (RAG) approaches. Familiarity with LLM architectures (e.g., GPT, BERT, T5
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