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DataFunSummit
DataFunSummit
Jul 29, 2024 · Artificial Intelligence

Large Language Models for Recommendation Systems: Current Progress, Challenges, and Future Directions

This article reviews the state‑of‑the‑art applications of large language models in recommendation systems, summarizing background knowledge, recent advances such as LLM4Rec, various tuning strategies, agent‑based approaches, open research problems, and future directions for generative recommendation.

AIIn-Context LearningLLM
0 likes · 24 min read
Large Language Models for Recommendation Systems: Current Progress, Challenges, and Future Directions
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jul 5, 2024 · Artificial Intelligence

Understanding and Tuning Hyperparameters for Large Language Models

This article explores the role of hyperparameters in large language models, explains each key hyperparameter, and guides readers through manual and automated tuning methods such as random search, grid search, and Bayesian optimization to achieve optimal model performance.

AILLMModel Tuning
0 likes · 18 min read
Understanding and Tuning Hyperparameters for Large Language Models
Tencent Advertising Technology
Tencent Advertising Technology
Jun 25, 2017 · Artificial Intelligence

Interview with ‘拔萝卜’: Lessons Learned from the Tencent Social Ads Algorithm Competition

In this interview, a solo female participant from Shanghai Jiao Tong University shares her experience, challenges, and technical insights—including feature engineering, memory management, and model tuning with XGBoost and LightGBM—gained while competing in the Tencent Social Ads algorithm contest.

Model TuningTencentXGBoost
0 likes · 5 min read
Interview with ‘拔萝卜’: Lessons Learned from the Tencent Social Ads Algorithm Competition