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Can LLMs Revolutionize Recommendations?
Jan. 21, 2024, 6:12 p.m. | /u/prakhar21
Natural Language Processing www.reddit.com
LLMs, trained through self-supervised learning on massive datasets, show success in learning universal representations and improving recommendation quality through techniques like fine-tuning and prompt tuning.
Paper Summary: [https://www.youtube.com/watch?v=g0EJgVAO7QM](https://www.youtube.com/watch?v=g0EJgVAO7QM)
Paper Link: [https://arxiv.org/abs/2305.19860](https://arxiv.org/abs/2305.19860)
datasets fine-tuning language language models languagetechnology large language large language models llms massive paper prompt prompt tuning quality recommendation recommendations recommendation systems self-supervised learning show significance success supervised learning systems through
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