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Mastering Agentic Applications: Harness APIs and Business Functions with Arch

Agenda

Explore Agentic Applications, Key Techniques, and Arch Integration

Agentic applications are a fast-growing development paradigm where Large Language Models (LLMs) are utilized to do a lot more than summarize some documents. These applications can initiate actions (for e.g. save new releases to your Spotify playlist), trigger workflows, or be given full agency to determine how to achieve a certain objective on behalf of the user.

In this webinar, we will dive into the core concepts behind agentic AI applications, compare it to traditional SaaS systems, and examine how techniques — like function calling and planning – play a powerful role in building these applications.

We will also explore how you can leverage existing business functions and APIs to build powerful systems with Arch, the open-source, intelligent gateway server for intelligent apps. Through demonstrations and discussions, you will gain a clear understanding of how to approach agentic system architecture.

What we will cover

  • Understanding tasks, workflows, and agency in agentic applications.
  • Gain a high-level overview of when (and when not to build) agentic systems.
  • Delving into intent detection, function calling, and planning to enhance task performance.
  • Configuring functions and API definitions in Arch Gateway to build a real-world agentic application.
  • A complete walkthrough demo of an agentic app retrieving real-time information in RAG scenarios, performing actions like submitting forms, calling APIs, and modifying application states (like handing off the conversation).
Salman Paracha

Co-Founder/CEO at Katanemo Labs Inc

Salman Paracha is the Co-Founder/CEO Katanemo Labs Inc. Salman has spent the last 20 years thinking and building infrastructure software and tools to help developers achieve more. He has worked on large scale systems like Amazon EC2, AWS Lambda and the AWS Serverless Application Model. And now leads a team of passionate NLP PhDs and distributed systems engineers to create intelligent building blocks so that developers can go beyond nascent GenAI efforts and move faster by focusing on core business objectives with AI.

RSVP

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