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Building GenAI Applications using FloTorch

Data Science Dojo via YouTube

Overview

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Learn to build scalable, production-ready GenAI applications using FloTorch, a comprehensive framework that addresses the key challenges of deploying generative AI at enterprise scale. Explore the current GenAI landscape and understand why simply accessing large language models isn't sufficient for real-world applications. Discover how FloTorch enables seamless interoperability across different AI providers while providing essential features like built-in evaluation, observability, and safety guardrails. Master the process of building robust evaluation pipelines to measure both model quality and performance metrics. Implement comprehensive observability solutions and safety guardrails to ensure reliable, secure outputs in production environments. Understand effective strategies for scaling applications from initial prototype to full production deployment. Examine real-world business applications that leverage FloTorch's capabilities and participate in a live demonstration showing how to build a complete GenAI application with integrated monitoring and safety checks. Compare FloTorch's SDK approach against traditional development methods and learn about advanced features including caching strategies, intelligent routing, cost tracking, and comprehensive guardrail systems.

Syllabus

00:00 – Welcome & Introductions
01:00 – GenAI Landscape & Adoption Challenges
05:30 – Stakeholder Perspectives
10:00 – Getting Started with FloTorch
13:00 – SDK vs. Traditional Approach
16:00 – Architecture & Built-in Features
21:00 – Caching & Routing Strategies
25:00 – Observability & Evaluation
31:00 – Cost Tracking & Guardrails
39:00 – Scaling GenAI Apps
45:00 – Live Demo + Q&A

Taught by

Data Science Dojo

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