4 papers · 1 filter
A Multi-Stage Workflow for the Review of Marketing Content with Reasoning Large Language Models
Alberto Purpura, Emily Chen, Swapnil Shinde
Reasoning Large Language Models (LLMs) have shown promising results when tasked with solving complex problems. In this paper, we propose and evaluate a multi-stage workflow that le…
Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem
Shayne Longpre, Christopher Akiki, Campbell Lund +6
Since 2019, the Hugging Face Model Hub has been the primary global platform for sharing open weight AI models. By releasing a dataset of the complete history of weekly model downlo…
GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection
Melissa Kazemi Rad, Alberto Purpura, Himanshu Kumar +2
We address the problem of data scarcity in harmful text classification for guardrailing applications and introduce GRAID (Geometric and Reflective AI-Driven Data Augmentation), a n…
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…