Talks & Research
Conference talks, academic publications, and technical articles on machine learning, LLMs, and biomedical AI.
xTelliGent Two: AI in GxP 2025 Summit
A deep dive into the real-world limitations of large language models in specialized and complex data environments, particularly in biomedical research. While LLMs excel at summarization, Q&A, and document retrieval, they struggle with messy, jargon-laden, or confidential data. This session presents practical architectures and hybrid approaches for navigating those gaps.
The Tesseract Academy Conference
An exploration of how to handle big data challenges in NLG applications, with a focus on the practical engineering required as LLM-based generation scaled up — including dataset curation, quality filtering, and evaluation at web scale.
Frontiers in Oncology · 2023
ResearchGate
GitHub
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