This episode features the second part of 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, the 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 on the current state and future trajectory of AI.

This interview features Raja Iqbal, Founder and CEO of Data Science Dojo, engaging in a candid conversation with Bob van Luijt, Co-founder and CEO of Weaviate. Bob shares his journey, from early childhood and a fascination for tech to his entrepreneurial drive which eventually led to launching his own startup at a very young age. They also discuss the importance of standing out and continuously evolving and adapting in a highly competitive landscape, and the potential of AI in businesses.

But it's not all sunshine and robots. Bob and Raja also discuss the triumphs and tribulations of leading their own start-ups, fostering a culture that fuels sustainable growth, and the key decisions that can make or break a young company. They also explore how to impress investors and build their trust so that funding isn't a constant worry.

Packed with practical advice and valuable insights, this video is a must-watch for aspiring as well as seasoned AI entrepreneurs aiming to make their mark on the industry.

As generative AI applications mature, retrieval-augmented generation (RAG) has become popular for improving large language model-based apps. We expect teams to move beyond basic RAG to autonomous agents and generative loops. We'll set up a Weaviate vector database on Google Kubernetes Engine (GKE) and Gemini to showcase generative feedback loops.

After this session, a Google Cloud GKE user should be able to: - Deploy Weaviate open source on GKE - Set up a pipeline to ingest data from the Cloud Storage bucket - Query, RAG, and enhance the responses

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