π ππ§ ππ¨πππ²’π¬ π―π’πππ¨ π¨π§ “ππ ππ ππ§ππ¬”, π°π’π«π ππ’π―π’π§π π’π§ππ¨ ππ‘π πππ₯ππ§ππ ππππ°πππ§ π©π«π¨π π«ππ¦π¦πππ’π ππ©π©π«π¨πππ‘ππ¬ ππ§π ππ ππ§ππ’π ππ©π©π«π¨πππ‘ππ¬ π’π§ ππ!
π On one hand, the programmatic approach is great for handling simple tasks quickly. Think of it like a system programmed to answer basic customer questions about product availabilityβefficient, but limited when faced with complex problems.
β‘ On the other hand, we have LLM agents that take their time to think things through. Picture planning a wedding: an LLM agent would consider guest preferences, venue options, and budgetβall in a thoughtful, organized way.
β¨ The future of AI needs a mix of both. For straightforward tasks, the programmatic route is perfect. But when we tackle bigger challenges, we need the reasoning power of LLM agents to guide us.
Hope you find the video informative. Leave your thoughts and questions in the comments section β
Vignesh Kumar 