Value in Agent Creation
The discussion highlights the increasing importance of prompt engineering and scaffolding in creating effective agents. As LLMs become more commoditized, the focus shifts to how these tools are structured and utilized in diverse real-world scenarios. This evolution suggests that the specific LLM API used may become less significant over time.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
809: Agentic AI — with Shingai Manjengwa
Related Questions
What is the best insight on prompt engineering and engaging large language models (LLMs)?
Is there anyone taking a different approach to prompt engineering for large language models that makes the process more accessible to a wider audience, as discussed in the episode Collaboration & evaluation for LLM apps and the clip Fine Tuning Insights?