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Showing 2024 · cs.CLShow all
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cs.CL2024
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback
Ryan Aponte, Ryan A. Rossi, Shunan Guo +5
Large language models (LLMs) have been applied to a wide range of tasks, including text summarization, web navigation, and chatbots. They have benefitted from supervised fine-tunin…
cs.CL2024★ 5 cited
Improving the Capabilities of Large Language Model Based Marketing Analytics Copilots With Semantic Search And Fine-Tuning
Yilin Gao, Sai Kumar Arava, Yancheng Li +1
Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be d…