The future of AI: LLMs, AGI, and beyond - What we need to know! (part 2)

Welcome to our premier podcast series, Future of Data and AI!
About the Podcast:
Throughout history, we've chased the extraordinary. Today, the spotlight is on AI-a game-changer, redefining human potential, augmenting our capabilities and fueling creativity. Curious about AI and how it is reshaping the world? You're right where you need to be. Our podcast dives deep into the trends and developments in AI and technology, weaving together the past, present and future. We will explore the profound impact of AI on the society, through the lens of the most brilliant and inspiring minds in the industry.
About the Episode:
This episode features an engaging discussion between Raja Iqbal, Founder and CEO of Data Science Dojo, and Bob van Luijt, Co-founder and CEO of Weaviate, a prominent open-source vector database in the industry.
Raja and Bob trace the evolution of AI over the years, the current LLM landscape and its outlook for the future. They further dive deep into various LLM concepts such as RAG, fine-tuning, challenges in enterprise adoption, vector search, context windows, potential of SLMs, generative feedback loop, and more. Lastly, Raja and Bob explore Artificial General Intelligence (AGI) and whether it could be a reality in the near future.
This episode is a must watch for anyone interested in a comprehensive outlook at the current state and future trajectory of AI.
About the Guest:
Bob van Luijt is the co-founder and CEO of Weaviate-a real-time vector database that can help you build and scale AI applications. At just 15 years of age, Bob started his own software company. He went on to study music at ArtEZ University of the Arts and Berklee College of Music, and completed the Harvard Business School Program of Management Excellence. Bob is also a TEDx speaker, exploring the fascinating relationship between software and language.
Table of Contents:
00:00:00 - Introduction
00:00:29 - Current LLM landscape
00:02:12 - Evolution of Generative AI and its future outlook
00:11:25 - Small Language Models
00:12:15 - The interrelation between art, science, engineering and design
00:15:23 - GPU vs. CPU
00:17:43 - Context windows - Are bigger context windows always better?
00:21:01 - Artificial General Intelligence (AGI)
00:33:37 - Enterprise adoption risks and challenges with RAG and fine-tuning based solutions
00:37:31 - Generative feedback loop in vector databases
00:39:58 - Vector search as a feature vs. AI-native applications
00:44:31 - Uncanny valley
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