Rachita
Jain
Data Scientist III at Thermofisher Scientific
"Agentic AI in Action: Building Autonomous Systems with Open-Source Frameworks"
"Agentic AI in Action: Building Autonomous Systems with Open-Source Frameworks"
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Session: Agentic AI in Action: Building Autonomous Systems with Open-Source Frameworks
Agentic AI represents the next frontier in machine intelligence, enabling systems to autonomously achieve complex goals. In this talk, we will explore how open-source frameworks empower the creation of these intelligent agents, which can adapt, learn, and operate independently across various applications. We'll dive into practical examples, from automated research assistants to adaptive learning platforms, showcasing how agentic AI can revolutionize industries and improve human-machine collaboration.Key Takeaways
- Understand the fundamentals of agentic AI: Learn how agentic AI differs from traditional AI, with a focus on autonomy, goal-directed behavior, and self-improvement.
- Real-world applications of agentic AI: Discover practical use cases in education (adaptive learning), knowledge management (automated research assistants), and customer engagement (intelligent chatbots).
- Explore open-source frameworks: Get hands-on insights into using frameworks like LangChain, crewai and Rasa to create autonomous systems that can learn, adapt, and interact with their environment.
Bio
Agentic AI, characterized by its ability to autonomously interact with the environment to achieve specific goals, is transforming the way intelligent systems operate. This session will focus on how to leverage open-source frameworks to build and deploy agentic AI systems effectively.Key points include:
An introduction to the principles of agentic AI and its distinction from traditional AI models.
Overview of open-source frameworks like LangChain and Rasa, which facilitate the development of autonomous agents.
Case studies on the application of agentic AI in fields such as education (adaptive learning systems), knowledge management (automated research assistants), and customer engagement (intelligent chatbots).
Practical guidance on setting up agentic AI systems with minimal resources, ensuring accessibility and scalability.
