Explaining Generative AI Hub Applications

You have deployed foundation models (FMs) in generative AI hub. You can start experimenting with deployed models in SAP AI Launchpad. However, these FMs are not limited to just human to human interaction, they have a wider use case. Let’s explore that in this lesson.

Generative AI, particularly FMs , has opened a wide range of potential applications that go beyond the traditional chatbot paradigm. While many people still associate generative AI with applications that follow a specific schema – human input, AI processing, and output for human consumption – the possibilities extend far beyond this.

One exciting application of generative AI is its ability to produce outputs solely based on software, without requiring human instruction. For instance, it can automatically generate reports, create explanations, or translate complex information into easily understandable formats for human readers. This opens opportunities for automating various tasks and making information more accessible.

On the other hand, generative AI can also be used to interpret human instructions and control software systems without necessarily producing output for human consumption. This allows for the development of intelligent interfaces and control systems that can understand and execute human commands effectively.

Furthermore, generative AI can be employed in complex applications where both input and output are handled by software, without any direct human interaction. These LLM-based applications have the potential to automate intricate processes, optimize systems, and solve problems in ways that were previously unimaginable.

It's worth noting that the boundaries between these different application categories are not always clear-cut, as most applications share common components, and advanced prompt engineering techniques can blur the lines between human input and software involvement. However, the key takeaway is that generative AI has the potential to revolutionize a wide range of industries and domains, extending far beyond the realm of chatbots and opening new possibilities for innovation and automation.

See the following video summary of the applications of generative AI.

Generative AI hub in SAP AI Core can revolutionize your business by leveraging LLMs for advanced email insights and automation, boosting efficiency and productivity.

See the following video for a use case of generative AI hub

Let's explore an example of using generative AI hub to solve a business problem.

Business Problem: A manufacturing company is facing challenges with maintaining the quality of their product descriptions across multiple platforms. The descriptions are often inconsistent, leading to customer confusion and reduced trust in the brand.

Solution using generative AI hub: The company employs the generative AI Hub to create a unified product description generator. This solution uses a LLM to process existing product information and generate consistent, detailed, and engaging product descriptions that can be used across various sales channels.

Value Proposition for generative AI hub in this Problem: The generative AI hub provides the company with access to advanced AI models that can understand the context and nuances of their products. By generating high-quality content, the company can ensure brand consistency, improve customer satisfaction, and potentially increase sales due to clearer communication. Moreover, the automation of this process frees up valuable time for employees to focus on more strategic tasks.

In this learning journey, we will take a scenario and then provide a detailed solution of a business problem in the next lesson and units.