(This content is temporary and will be updated later.)

In recent months, I have been deeply engaged in research and development focused on the potential applications of AI Large Language Models (LLMs). Actively utilizing cutting-edge AI models like ChatGPT, Claude, and Gemini, I systematically explored their limitations and potential throughout the entire process, from research planning to development and experimentation.

Through efficient time management, I immersed myself deeply in the world of AI, making it one of the most focused and valuable experiences in my research career. In this article, I aim to share my journey over those five months, the insights gained from utilizing LLM services, and my thoughts on future possibilities.

Key Experiences and Reflections (Examples)

• Real-world application cases of various LLM services (ChatGPT, Claude, Gemini, etc.) in research/development
• Experiences and effectiveness of prompt engineering, RAG, and fine-tuning
• Technical limitations encountered when utilizing LLMs and efforts to overcome them
• Experiences of productivity improvement through collaboration with AI
• Outlook on the future development direction of LLM technology

This article will be updated with detailed content later.