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AI Technology

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AI Agent Development

LLM Application Experience Sharing Session

This is the edited live video from the LLM Application Experience Sharing Session with knowledge sharer Kang Byung-jin :)

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jasonkang๋‹˜์˜ ํ”„๋กœํ•„ ์ด๋ฏธ์ง€
jasonkang

I published a book on AI agent development!

I'm excited to share some great news with all of you who have been learning and growing together through my AI agent development course. My first book, which compiles the in-depth content and practical essentials that couldn't be fully covered in the lectures, has finally been published. This book focuses on addressing the most frequently asked questions from the classroom and solving real-world challenges.

As I've always emphasized in my lectures, the key to agent services is not simply 'implementing' features, but 'proving' their performance.

During the writing process, as I experienced rapid technological changes such as EXAONE 3.0 being updated to 3.5 and changes in the Ollama support environment, I became convinced once again. What matters is not 'trends' but 'fundamentals'. That's why the final chapter of this book focuses intensively on the [Evaluation] part, which I consider most important.

For those who want to manage agent performance with objective metrics rather than subjective feelings, this book will serve as an excellent guide.

I notice that the `` tags are empty - there is no Korean text between them to translate. The surrounding context shows: - Before: Text about focusing on objective indicators rather than subjective feelings for managing agent performance - After: Text about a 'Next Step' preview for course students, discussing theoretical foundations and core principles of evaluation covered in a book However, since there is no actual content between the `` tags to translate, I cannot provide a translation. Please provide the Korean text you'd like translated.

๐ŸŽ“ 'Next Step' Preview for Course Students

The book solidly covers the theoretical foundation and core principles of evaluation. However, you may be curious about how to automate and operationalize this in practice. To address this, we are separately preparing a course that includes the following advanced content.

  • Establishing evaluation policies using LangSmith

  • Writing and optimizing Evaluators in production environments and their practical applications

  • Sustainable LLM Application Improvement Process

After building a solid theoretical foundation through the book, I recommend experiencing 'the completion of evaluation' through the hands-on lectures that follow.

Now available for pre-order at the bookstores below.

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