RAG, Fine-Tuning, and Agents: The Three Key Patterns of Generative AI 

WHAT YOU'LL LEARN
Retrieval Augmented Generation, or RAG: Learn how RAG is Dense Vector Retrieval (think recommender systems) + In-Context Learning (think prompt engineering).
Fine-Tuning: Learn how to think about efficient fine-tuning of Large Language Models (LLMs) and Embedding models!
Agentic Reasoning: Understand the most popular buzzword in 2024 - Agents! What is an agent, and how can we leverage them?
WHY THIS TOPIC MATTERS
RAG, Fine-Tuning, and Agents are three of the most misunderstood topics in Generative AI. None of them are specific "things," rather, they are all patterns. Most people don't understand this. By understanding the primary patterns of generative AI and the needs of your customers and stakeholders, you can figure out exactly what you should be building with AI right now, why, and (even) how.
Speakers:
Dr. Greg, Co-Founder & CEO
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The Wiz, Co-Founder & CTO
/ csalexiuk
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