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Use Case

Virtual language learning tutors

Generative AI models like Language Models (LLMs) and image generators can revolutionize virtual language learning by creating adaptive, interactive, and immersive learning environments. For example, LLMs like OpenAI's GPT-3 can be programmed as language tutors, providing instant feedback on language usage, explaining grammar rules and giving contextual examples. It can also be engaged in free-flowing conversations to improve learners' speaking and comprehension skills. Image generators can enhance this experience by visualizing sentences or written narratives, thus helping learners to understand and remember the context better. Further more, LLMs and image generators can complement each other. For instance, a student learning Spanish can describe a scene in Spanish, the LLM validates the grammar and vocabulary, while the image generator creates a pictorial representation of the description, reinforcing the learning through visual feedback.

How to build with Clevis

Text Input

Ask the user to input their target language

HTTP Request

Fetch a list of language tutors for the target language

Display Output

Display the list of language tutors to the user

Prompt ChatGPT

Prompt ChatGPT to provide recommended study materials for the target language

Display Output

Display the recommended study materials to the user

The 'Virtual Language Learning Tutors' is an example app you can build using Clevis. This AI application operates in several sequential steps to provide users with an adaptive language learning experience. The first step, Text Input, involves users interacting with the app by specifying the language they wish to learn.

Next, through an Http Request, the app fetches a list of virtual language tutors proficient in the user-specified language. Following successful data retrieval, the Display Output step is initiated whereby the app presents to the user the resultant list of potential language tutors.

Thereafter, the application integrates the powerful ChatGPT- powered by OpenAI - in a step aptly named ChatGPT. ChatGPT is prompted to offer recommended study materials and avenues for the learner's target language. Finally, the recommended resources are displayed to the user in the last Display Output step.

This application exemplifies how Clevis can be leveraged to build diverse AI-driven apps within language learning domain or similar areas. By combining user inputs, network requests, AI model interactions and displaying outputs, Clevis provides the framework and functionalities needed to deliver complex yet intuitive applications.

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