What are AI Agents?

In this video, Maya Murad explores the evolution of AI agents and their pivotal role in revolutionizing AI systems. From monolithic models to compound AI systems, discover how AI agents integrate with databases and external tools to enhance problem-solving capabilities and adaptability.

[cobrito]

This is by far the best explanation of what exactly an AI agent is.

[eaglebeakv]

Give this lady a vacation! this is her way of asking it out loud😂

[lqnzwwm]

ur positive energy is contagious and your videos always brighten up my day, thank you!!! 😉

[mussen]

This was a really helpful video for me. These IBM videos have really great content.

[bananamaker]

I like the last part when you explained when to use agentic or simple rag approach. Thanks.

[pratikshitsingh]

Great explaination for agents! Helpful! Thank you

[joemcginnis]

The community appreciates your time, dedication and passion to share your knowledge on AI topics.

[irffssy]

I'm not an IT person by any stretch of the imagination, but I'm encountering this technology more and more in my development of a Media Asset Management system for our non-profit media organization. The software products leveraging AI and agents is exploding into our field of view, and this explanation was very helpful. You're helping me anticipate questions and critiques to apply to vendors offering new products.

[abdulwaqar]

I like the way She explained everything including LLM RAG, Compound AI systems.

[gilachess]

I don't care much about the content but am impressed is how she can write in a backward mirror image. That takes skill !!

[the.boring.andrew]

Thank You for the high-level overview!
It would be interesting to hear more about tradeoffs between the programmatic and agent approaches (use cases, how agents can be embedded into the existing systems, etc).

[HAKhan-hnew]

Fantastic Maya! Your detailed explanation of the shift from monolithic AI models to modular, compound AI systems is enlightening. It's fascinating to see how the integration of LLMs with agent-based systems can enhance adaptability and enable more dynamic interactions across various applications. I'm especially intrigued by the 'ReAct' framework, Combining Reason, Action, and Access memory—as a means to boost AI's adaptability and autonomy. Looking forward to more insights on this topic!

With the Rise of AI Agents in 2024, the Age of 'Jarvis' is on the horizon 🤖

[drSlvr]

Great topic and very well presented! Thank you!

[johnnyBrwn]

Jesus, I was not expecting this to be this good! Incredible value in such little time!

[nachoeigu]

Excellent explanation and overview of the improvements in LLM apps!

[anasaberchih]

Clear and consise, thank you Maya Murad, appreciate the informations🙏🏼

[trycryptos]

Nice overall picture of how AI agents are evolving.

[prasad_yt]

Well organised and putting things in a proper perspective

[PaulMoreira]

Great explanation of AI Agents! I love working with them and seeing them reason issues.

[GenAI.Enthusiat]

Remarkable clarity, excellent explanation!!