David will dive into advanced RAG techniques to enhance LLMs. He will explain how to improve LLM responses using methods like Modular RAG, query rewriting, reranking, fine-tuning, and GraphRAG. David will provide practical examples and insights to help you implement these techniques effectively in your AI applications.
Talks at GOTO Copenhagen 2024
I’m David Carlos Zachariae, a seasoned software developer with a passion for cutting-edge technologies and Large Language Models (LLMs). Here’s a snapshot of my journey:
- Trifork A/S: Over the past 5 years, I’ve been a Software Pilot at Trifork A/S. My work spans diverse programming domains, from web applications to backend systems, including ML/AI projects.
- Computer science roots: My academic background lies in Computer Science, with a specialization in Natural Language Processing (NLP). This intersection of language and algorithms spark my interest and motivation.
- Late-night explorer: When the world quiets down, you’ll find me at my keyboard, fueled by curiosity and a steaming cup of coffee. I dedicate much of my spare time to exploring the latest papers and novel techniques in the ever-evolving field of LLMs.
- Home in Brabrand: I currently live with my girlfriend and our dog, Ruby, in our cozy house in Brabrand.