Building an LLM Chatbot with Flutter (feat. Gemini)

Hello! As I previewed when announcing the publication of my first book, the 'AI Agent Evaluation' advanced course has finally opened!🎉

As mentioned in my previous message, if the book established the 'theoretical foundation and core principles' of evaluation, this lecture is a complete hands-on and application guide on how to automate and build this into a system in a practical work environment.

As you can see in the attached table of contents, this course is packed with essential content for managing agents through objective metrics that go beyond subjective testing.

📌 Key Lecture Content

• Everything about building a Golden Dataset: Efficient evaluation dataset generation techniques using the RAGAS library, LangSmith, custom agents, and Claude Code Agent Skills

• Multi-faceted Evaluation Practice: From e2e evaluation checking the accuracy of the final answer, to Component Evaluation verifying whether documents were retrieved correctly and whether tools were used in the proper sequence (Trajectory).

• Applying Advanced Evaluation Metrics and Frameworks: Anthropic's recommended agent evaluation metrics, and methods for measuring AI potential (pass@k) and consistency (pass^k)

• How to build a sustainable evaluation system

This will be the most reliable guide for those who want to go beyond simply 'implementing' an agent and instead 'prove' and optimize whether their AI "always works correctly" at a production level using data. If you have built a solid foundation through the book, now experience the 'completion of evaluation' firsthand through this follow-up practical course!

We are currently offering a 30% early bird discount to celebrate the launch, so experience the 'completion of evaluation' right now based on the solid theory you built through the book!

https://inf.run/k5fDe

Hello, I'm Kang Byeong-jin.

Hello, I recently had a great opportunity to participate in And Studio's 'Ace Report' to share my career story.

I'm facing a new beginning, but rather than this video covering the know-how of transitioning to big tech companies, it has become a space where I calmly share the thoughts I've pondered and experienced while approaching work over the years.

Looking back, I think my career has been closer to failure than success. There were experiences of starting and closing businesses that aren't recorded on LinkedIn, and moments of rejection that far outnumbered acceptances. However, I believe I am who I am today because of the learning and lessons I gained through that process.

While the title 'Work Expert' is a bit embarrassing, I hope my story of constantly challenging myself and learning from those experiences can reach and help those who have similar concerns.

Thank you for taking the time to watch, and it would be a great help if you could share your thoughts about the video.

https://youtu.be/UR9PL1Jz-qs?si=nYUszHC3GrU21K-Q

Thank you to all the students taking this course, and if you encounter any parts where the explanation is insufficient, parts that are difficult to understand, or difficulties you face when applying this to your actual work, please post them as questions and I will respond as quickly as possible.

Thank you

Best regards, Kang Byeongjin