Workshops

Workshops will be held on April 16th, Day 3 of the conference. Take advantage of hands on sessions from industry experts to increase your skills in deploying models to production.

Mastering Optimization for GenAI Training & Inference

Mark Moyou, PhD - Sr. Data Scientist - NVIDIA

This workshop covers training and deploying large DNNs in NLP, vision, and speech AI. Learn to scale across servers, manage memory with advanced techniques, optimize performance, and deploy multi-GPU models with NVIDIA Triton™ Inference Server. The techniques covers in this course are used to train model Generative AI models.

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Building with Llama Stack and Multimodal Models

Suraj Subramanian - ML Engineer - Meta AI

Learn to leverage the Llama Stack for rapid AI development and deployment with tools like agentic components, safety guardrails, and on-device solutions. Explore Llama 3.2 Vision models to integrate text and image reasoning for tasks like captioning and image understanding. Develop in your preferred language and deploy seamlessly across environments with a unified API.

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Mastering AI Agents

Hamza Farooq - Founder - Traversaal.ai/ex-Google

This workshop provides a comprehensive understanding of designing and building AI agents from the ground up. Instead of relying on pre-built frameworks like CrewAI or Autogen, participants will learn the core mechanics of agent development to create fully customizable solutions. By the end, attendees will have the tools and knowledge to build robust, scalable, and production-grade AI agents tailored to their needs.

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Optimizing Enterprise RAG Systems

Trey Grainger - Author - AI-Powered Search

RAG systems will be a mainstay in every enterprise. Tuning a RAG systems involves deep knowledge of both vector and traditional keyword search, coupled with efficient context management strategies for LLMs. This entire equation becomes more complicated when multiple modalities of data enter the equation.

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