Building Smarter Systems: Understanding AI Agents from Scratch

A Generative AI agent is an application designed to achieve specific goals by observing its environment and taking actions using the tools at its disposal. These agents operate autonomously and can function independently without human intervention, particularly when given clear objectives. They are also capable of proactively pursuing their goals, reasoning about the next steps to take, even without explicit human instructions, to fulfill their intended purpose.

Key Takeaways:

• Gain an understanding of AI Agents and their importance.
• Explore the inner workings and core concepts of AI Agents in detail.
• Learn about frameworks for building AI Agents.
• Review code walkthroughs showcasing compelling use cases of AI Agents.

Sarvagya Agrawal is an experienced Software Engineer with expertise in artificial intelligence and machine learning. With a strong background in developing innovative AI solutions, he has successfully led multiple enterprise-level projects in organizations like American Express, Barco Electronics, etc. A prolific writer, he has contributed over 30 articles to platforms like Analytics Vidhya and Turing.com, sharing insights on AI technologies. Known for his leadership in designing enterprise-scale frameworks, Sarvagya is passionate about bridging the gap between cutting-edge research and real-world applications, driving impactful and scalable AI solutions. You can reach him on LinkedIn