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Articles by Sasha Gutfraind
Bringing agentic AI into spreadsheets for planning tactical electrical power | Amazon Web Services
Logistics and energy professionals in the military and other organizations increasingly adopt batteries for electrical power in the field. In support of this mission, Sentient Industries designs and manufactures rugged electrical energy modules. Before each deployment, logistics officers (LOs) rely on Excel spreadsheets for planning the electrical system based on the equipment connected to it.
Building more accountable multi-modal LLMs through spatially-informed visual reasoning
Recent research has demonstrated that debate mechanisms among Large Language Models (LLMs) show remarkable potential for enhancing reasoning capabilities and promoting responsible text generation. However, it remains an open question whether debate strategies can effectively generalize to Multi-Modal Large Language Models (MLLMs).
Unfixing the mental set: Granting early-stage reasoning freedom in multi-agent debate
Large language models (LLMs) have demonstrated remarkable performance across a wide range of tasks in recent years. While prior work has explored leveraging LLMs to generate synthetic data for self-improvement, repeated iterations often suffer from diminishing returns due to the reliance on homogeneous reasoning patterns and limited exploration of alternative perspectives.
Sustainability-focused generative AI risk mitigation strategies
The rapid rise of generative AI (GenAI) has sparked the sustainability community to explore its potential applications, such as climate impact modeling and renewable energy optimization. However, deploying these GenAIpowered solutions in enterprise environments raises risk concerns. In particular, chatbots and similar GenAI applications face risks of misinformation and disinformation stemming from knowledge sources, user prompts, and the response generation process.
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