Large Language Models Bootcamp - Day 5 Highlights
🌟 Day 5 Highlights: Mastering Data Security, Agentic RAG, and Enterprise LLMs!
Our participants explored cutting-edge topics and practical insights from industry experts! Here’s a detailed breakdown of what they learned:
1. Ensuring Data Security & Privacy with Jack Berkowitz 🛡️
o Discover AI Models & Agents: Participants learned how to discover and catalog AI models and agents across various environments.
o Assess AI Model Risks: Techniques for evaluating and rating AI models against various risks and regulatory needs.
o Understand Data Use with AI: Insights into mapping data flows and understanding data usage within AI systems.
o Implement Data & AI Controls: Establishing data controls to secure AI systems from unauthorized access or manipulation.
o Comply with Confidence: Ensuring compliance with standards such as NIST AI RMF and the EU AI Act.
2. Building Agentic RAG with LlamaIndex with Jerry Liu 🛠️
o Building a Knowledge Assistant: Detailed steps to build a knowledge assistant using LlamaIndex.
o RAG Overview: Understanding the basics of RAG and common pitfalls.
o Improving Data Quality: Strategies to enhance data quality for better RAG performance.
o Improving Query Complexity: Transitioning from basic RAG to more complex agent-based systems.
o Workshops: Hands-on exercises to apply the learned concepts.
3. Productionizing Enterprise LLM Applications with Raja Iqbal & Sanjay Pant 🌐
o Scaling LLM Applications: Techniques for deploying LLM applications efficiently at an enterprise scale.
o RAG Challenges & Solutions: Insightful discussions on overcoming common RAG challenges and practical solutions.
o RAG Recipe: A step-by-step guide to building robust RAG systems.
4. Hands-On Project Work 🛠️
o Participants had the opportunity to apply their learnings by working on their own LLM projects. This practical session allowed them to integrate and implement the concepts discussed throughout the day, fostering a deeper understanding and hands-on experience.
👥 Join us for the next cohort: https://hubs.la/Q02DXtl70
