AI blindspot is a podcast that explores the uncharted territories of AI by focusing on its cutting-edge research and frontiers
This podcast is for researchers, developers, curious minds, and anyone fascinated by the quest to close the gap between human intelligence and machines.
As AI is advancing at Godspeed, it has become increasingly difficult to keep up with the progress. This is a human-in-loop AI-hosted podcast.
AI blindspot is a podcast that explores the uncharted territories of AI by focusing on its cutting-edge research and frontiers
This podcast is for researchers, developers, curious minds, and anyone fascinated by the quest to close the gap between human intelligence and machines.
As AI is advancing at Godspeed, it has become increasingly difficult to keep up with the progress. This is a human-in-loop AI-hosted podcast.
In this episode, we discuss strategies for building effective AI agents, emphasizing simplicity and composable patterns over complex frameworks.
It distinguishes between workflows, which use predefined code paths, and agents, where LLMs dynamically direct their own processes, noting that simpler solutions are often sufficient.
To build effective AI Agents, start simple and composable building blocks, designed tools carefully and leverage more complex agentic patterns only when simple solutions are insufficient for the task's needs.
https://www.anthropic.com/engineering/building-effective-agents