9 citations · 15 across the 3 of their papers we have counts for
3 papers
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models
Scott Barnett, Zac Brannelly, Stefanus Kurniawan +1
Large Language Models (LLMs) have the unique capability to understand and generate human-like text from input queries. When fine-tuned, these models show enhanced performance on do…
Large language models for generating rules, yay or nay?
Shangeetha Sivasothy, Scott Barnett, Rena Logothetis +4
Engineering safety-critical systems such as medical devices and digital health intervention systems is complex, where long-term engagement with subject-matter experts (SMEs) is nee…
Seven Failure Points When Engineering a Retrieval Augmented Generation System
Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu +2
Software engineers are increasingly adding semantic search capabilities to applications using a strategy known as Retrieval Augmented Generation (RAG). A RAG system involves findin…