Analysis
This article offers a fascinating look into the core structure of Generative AI applications, revealing that they're essentially a combination of Markdown files and code. The author's journey of redesigning an Agent highlights a shift in perspective, moving from rigid rule-matching to an experience-based learning approach.
Key Takeaways
- •LLM applications are structured as a 'sandwich' of Markdown instructions and code.
- •The article highlights the importance of experience-based learning in LLM Agents.
- •The author shifted from rule-matching to observing emergent skills.
Reference / Citation
View Original"The behavior of LLM Agents can be defined by natural language instructions written in Markdown files. Code is just the framework for parsing and safely executing the LLM's output."