Next-Gen LLM
Fine-Tuning Using RagSys

October 29th, 2024
11 am PT

Explore the cutting edge of AI in our 45-minute webinar on enhancing Large Language Models (LLMs) for domain-specific applications.

We'll discuss In-Context Learning (ICL) as an alternative to fine-tuning, highlighting its integration with Retrieval-Augmented Generation (RAG) and our novel RAG-sys framework. 

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About the webinar

Explore the cutting edge of AI in our 45-minute webinar on enhancing Large Language Models (LLMs) for domain-specific applications. We'll discuss In-Context Learning (ICL) as an alternative to fine-tuning, highlighting its integration with Retrieval-Augmented Generation (RAG) and our novel RAGsys framework. Learn how ICL retrieval mirrors item-cold-start recommender systems, prioritizing discovery over strict relevance. 

We'll present a new evaluation method for LLM performance and discuss the impact of diversity and quality bias in retrieved demonstrations. Essential for AI researchers and data scientists, this webinar unveils innovative techniques to revolutionize domain-specific AI applications.

Agenda: 

  • Introduction (5 min)
  • RAG and it’s Challenges (10 min)
  • Crossing Minds' Approach: RagSys (10 min)
  • RagSyS Applications (5 min)
  • Q&A (15 min)