Detect and Fix issues in Agentic AI Applications with RagaAI AgentNeo
Sep 24, 2024
Webinar
Live Demo Recording
Detect and Fix issues in Agentic AI Applications with RagaAI AgentNeo
Event by RagaAI Inc
Our leading AI experts Rehan Asif and Jigar Gupta explore strategies for detecting and resolving issues in Agentic AI applications using RagaAI AgentNeo.
Get hands-on experience with AgentNeo, a groundbreaking platform that autonomously diagnoses agentic workflows and identifies critical issues in production, ensuring smooth and reliable deployment of your AI systems.
In this session you will uncover:
Building and Evaluating Agentic AI Applications: A look into how to develop and algorithmically assess these workflows.
Live Demo of RagaAI AgentNeo: Showcased how to trace and analyze agent interactions, helping detect and fix issues like planning errors, tool selection, and infinite loops.
Key Metrics: Discussed critical evaluation metrics to ensure performance and reliability in agentic applications.
Key Highlights from the Workshop:
Agentic AI Workflow: We broke down the architecture behind agent-based applications and discussed how these workflows go beyond traditional LLMs, offering dynamic solutions for complex tasks.
Testing and Evaluating Agentic Applications: We explored techniques for identifying and fixing common issues like planning errors, tool selection mishaps, and infinite loops, ensuring robust performance before deployment.
Metrics that Matter: From Goal Decomposition to Tool Usage Efficiency, we showcased the cutting-edge evaluation metrics we've developed to measure the effectiveness of these applications.
Real-Time Guardrails: We demonstrated how to apply real-time evaluations to prevent hallucinations, address bias, and ensure secure, reliable AI performance.
Hands-on Demo: A live walkthrough of our soon-to-be open-source tool, showcasing how it helps developers evaluate and fine-tune their agentic workflows.
This workshop is essential for Data Scientists looking to enhance the quality and performance of their Agentic AI applications.
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