Summary
In this chapter, we walked through the phenomenon that has taken the world by storm – LLMs. We covered some fundamental topics around the evolution, basics, and principles of LLMs, the differences between data model design for good old analytical applications, and looked at LLM applications with some real-world use cases. Then, we discussed some data model considerations, techniques, best practices, and ethical considerations for data modeling design for LLM use cases. We also extended our learning to a simple hands-on LLM application development exercise.
LLMs and Generative AI services such as BigQuery and Vertex AI open up countless opportunities and potential business insights across industries by enabling us to work with diverse data formats and sources. I hope this chapter was able to equip you with a foundational insight into the world of LLMs and their applications while helping you prepare your data and design to handle the scaling use cases, challenges,...
