76 citations · 76 across the 6 of their papers we have counts for
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cs.LG2025
Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows
Orlando Marquez Ayala, Patrice Bechard, Emily Chen +2
Large Language Models (LLMs) such as GPT-4o can handle a wide range of complex tasks with the right prompt. As per token costs are reduced, the advantages of fine-tuning Small Lang…
cs.LG2024★ 76 cited
Reducing hallucination in structured outputs via Retrieval-Augmented Generation
Patrice Béchard, Orlando Marquez Ayala
A common and fundamental limitation of Generative AI (GenAI) is its propensity to hallucinate. While large language models (LLM) have taken the world by storm, without eliminating…