Jerry Liu on Mastering AI: Unpacking RAG and the Future of Multimodal Models

Author(s): Louis Bouchard

Originally published on Towards AI.

The What’s AI podcast episode 25 with Jerry Liu: LlamaIndex CEO and co-founder

In this insightful episode of the What’s AI podcast, we dive deep into RAG and LLMs with Jerry Liu, the co-founder and CEO of LlamaIndex. Jerry, with his rich background in AI and deep learning, brings a wealth of knowledge and hands-on experience to the table, making this episode a treasure trove for anyone building or involved with LLMs.

We started by discussing the Gemini news (back then), a multimodal model that seamlessly integrates text, images, videos, and audio with impressive speed and efficiency, to then dive into the practical applications and theoretical underpinnings of AI, Jerry’s insights offer a unique perspective on the evolving landscape of artificial intelligence and mainly language models.

As the discussion continues, Jerry eloquently navigates through various complex topics, including the importance of understanding AI at different levels of abstraction, the role of data quality in RAG systems, and the ethical considerations unique to multimodal AI. He emphasizes the need for AI engineers to familiarize themselves with the latest trends and best practices in the field, highlighting the criticality of benchmarking and evaluation in developing robust AI systems.

Moreover, Jerry offers valuable insights into LlamaIndex — a powerful tool for developers looking to harness the power of LLMs… Read the full blog for free on Medium.

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Published via Towards AI