Master Claude Code with the /powerup Command: A Complete Interactive Tutorial

This article walks you through Claude Code’s new /powerup command introduced in version v2.1.90, showing how to verify your version, launch the interactive ten‑lesson tutorial, use file references with @, switch between four operation modes, undo changes, run background tasks, configure CLAUDE.md, extend functionality with MCP, install Skills and Hooks, create Subagents, sync sessions across devices, and adjust model and effort settings for optimal performance.

AI CodingCLI tutorialClaude Code

0 likes · 34 min read

Master Claude Code with the /powerup Command: A Complete Interactive Tutorial

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.

In-Context LearningLLMModel tuning

0 likes · 24 min read

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

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.

LLMModel tuningai

0 likes · 18 min read

Understanding and Tuning Hyperparameters for Large Language Models

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