📄️ Text Simplification
In this use-case example, we show you how to rewrite complex texts with our Luminous models. More precisely, we demonstrate how to simplify texts. In doing so, the content and structure of a text are changed in such a way that it is easier to understand, while retaining the original meaning.
📄️ Travel Destination Recommender
Imagine you work at a travel agency, and you have a database full of travelers' holiday pictures and reviews. You want to recommend possible destinations for a customer's next trip, taking both types of data into account. With Luminous-explore, you can semantically embed multimodal data, which can be used for a variety of use cases such as search system, classification or recommendation engines.
📄️ Minimal Conversational Agent
One of the most exciting potential application areas of Large Language Models are conversational agents. Such agents can assist with daily tasks and even access knowledge within databases. In this example use-case, we build a minimal conversational agent that can answer questions about sports documents, "remember" the conversation history, and even have a smalltalk conversation.