The AI Use Cases Podcast
Join us on the AI Use Cases Podcast, where we unveil the transformative power of AI through riveting success stories. Discover how trailblazing businesses are revolutionizing their industries with cutting-edge AI innovations that you can't afford to miss.
Introducing ambient agents
In episode 63, we begin with an introduction to ambient agents and the current AI landscape. The episode then explores LangChain's recent work, highlighting the introduction of LangGraph. We dive into the definition and functioning of human-in-the-loop processes in ambient agents, discussing their significance. The conversation moves to strategies for building user trust and enhancing agent learning, including the introduction of the Agent Inbox. We also discuss the launch of a new email assistant and consider the future outlook for ambient agents, wrapping up with insights into their potential developments.
Key Points
- Ambient agents can significantly enhance productivity by responding to ambient signals rather than requiring constant user input.
- The human-in-the-loop component is essential for building user trust and ensuring that ambient agents align better with human needs over time.
- LangChain's LangGraph platform provides an ideal environment for developing ambient agents with features like long-term memory and scheduled event checks.
Chapters
| 0:00 | |
| 0:57 | |
| 1:39 | |
| 2:22 | |
| 3:18 |
Transcript
Loading transcript...
- / -