Generative AI and Icebergs: What do they have in common?
In the realm of Artificial Intelligence, the impact we witness as end-users is merely the tip of the iceberg. To truly understand the functionality of Generative AI, we need to delve beneath the surface and explore the three fundamental building blocks that make it possible. In our recent webinar, Beyond Limits: Transforming Member Experience with AI we unraveled the complexities by drawing an analogy to an iceberg. This metaphor perfectly encapsulates the layers of Generative AI: the visible Application layer, the foundational LLM (Large Language Model) layer, and the hidden powerhouse – the Foundation Model layer.
Foundation Model Layer: The Unseen Powerhouse
At the base of the Generative AI iceberg lies the Foundation Model layer. This layer is the result of extensive training on vast amounts of unstructured data in an unsupervised manner. Think of it as the bedrock upon which the entire generative process stands. These models serve as the robust foundation, enabling AI to generate, comprehend, and interact seamlessly across diverse formats and contexts. The significance of the Foundation Model cannot be overstated, as it forms the backbone of the AI’s capabilities.
LLM (Large Language Model) Layer: The Linguistic Intelligence
Moving up the layers, we encounter the Large Language Model (LLM) layer, situated in the middle of the generative iceberg. This layer represents the linguistic intelligence of Generative AI. Specifically designed for applications involving human interactions, content creation, and language understanding, LLMs play a pivotal role in sectors such as customer service, education, and content generation. The LLM layer is the bridge between the foundational model and the visible application, adding a critical linguistic dimension to the generative capabilities.
Application Layer: Unveiling the Visible Facade
Finally, emerging above the waterline is the Application layer. Here, Generative AI takes on tangible forms like ChatGPT, designed to crawl through the vast expanse of the World Wide Web. The Application layer utilizes the knowledge acquired from the Foundation and LLM layers to answer questions and perform tasks. ChatGPT, for instance, exemplifies the power of Generative AI in action, showcasing its ability to leverage vast knowledge to provide insightful responses and execute tasks.
Generative AI is a multi-layered process, with each layer playing a crucial role in shaping its capabilities. The Foundation Model layer provides the necessary strength, the LLM layer adds linguistic intelligence, and the Application layer brings AI into our daily lives. Understanding these three building blocks is paramount in appreciating the depth and sophistication behind the AI experiences we encounter. As we continue to explore the possibilities of Generative AI, it’s clear that its true potential lies beneath the surface, much like the submerged mass of an iceberg.