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Use Case

AI-driven financial literacy courses

Generative AI models like Language Models (LLMs) and image generators can revolutionize AI-driven financial literacy courses. Tailored chatbots can be created using models such as GPT-3, giving users the opportunity for interactive financial learning. They can answer queries, help learners understand complex financial concepts, or provide information about the pros and cons of different investment strategies.

With image generators, graph-based financial data and statistical concepts could be visualized interactively. Complex financial projections could be rendered visually comprehensible. This type of visualization can help learners quickly grasp the dynamics of market trends and financial instruments.

AI could also assist in personalizing course curricula. For example, an AI system could analyze a learner's progress and recommend personalized learning paths, improving the overall efficiency of the learning process.

How to build with Clevis

Text Input

Ask for the user's name to personalize the course experience

Prompt ChatGPT

Prompt ChatGPT to introduce the course and provide an overview of financial literacy

HTTP Request

Fetch relevant articles or resources on financial literacy from external APIs

Display Output

Display the fetched articles or resources in a user-friendly format

Prompt ChatGPT

Prompt ChatGPT to generate interactive quizzes to test the user's financial knowledge

This AI application, as an example of what one can build using Clevis, is geared toward providing AI-driven financial literacy courses to assist individuals in bolstering their understanding and proficiency in personal finance management. Kick-started with the app asking for the name of the user, this particular step adds a personal touch to the course experience.

Thereafter, the popular language model ChatGPT is prompted to play a role in introducing and providing an overview of financial literacy as the second step. Simultaneously introducing the user to the course and what they can expect to learn.

Next, HTTP request is employed as the third step to fetch pertinent articles or resources associated with financial literacy from external APIs. This ensures the provision of up-to-date and relevant information taking into account the ever-shifting financial landscape.

Following the article procurement, the Display Output step immediately springs into action. The aim here is to present the fetched articles or resources in a format that is user-friendly and easy to digest for the user.

Finally, ChatGPT is summoned again to generate interactive quizzes in order to gauge and consolidate the user's financial knowledge. This ensures that the user remains actively engaged whilst assessing their grasp of the course material.

This sample app is indicative of the kind of educational AI applications that can be built leveraging the flexible tool, Clevis.

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