What is an AI Agent? Join us on this episode of Real Terms for AI as we explore the concept of AI Agents with Developer Advocate, Fred. In this episode, we break down the core definition of an agent and how it interacts with its environment to achieve goals. Moreover, We dive into the potential for AI agents to enhance software development, enabling them to process information at a scale that humans can’t. Fred discusses the power of agents to browse hundreds of websites in parallel, analyze lengthy PDFs in seconds, and complement human strengths in quality and quantity.
We also examine how agents work with Large Language Models (LLMs), and what considerations there are for agent implementation, the importance of balancing agent autonomy with user feedback and control, and more! Watch this video to clearly understand AI agents, their capabilities, and their future potential!
Chapters:
0:00- Intro
0:06 – Defining AI agents
0:28 – Agent’s interaction with the environment
1:06 – How agents interact with applications & services
1:21 – AI agents processing information at scale
1:54 – Combining quality and quantity in model output
2:07 – Defensive coding and AI agents
2:32 – – Evaluating LLM performance for agent use
3:08 – How to create reliable supervised models for agent use
3:30 – The importance of user validation for agent outcomes
3:52- Real-world example: using Gemini for deep research
4:34 – What is vibe coding
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#AIAgent #DevTips #AI
Speaker: Aja Hammerly, Jason Davenport. Fred Sauer
Products Mentioned: AI Infrastructure, Gemini
