In the next video titled “0090 Making a Travel Recommendation iPhone App,” the presenter delves into the creation of a travel assistant application utilizing private language models. Initially, viewers are guided to initiate the AI manager and execute the server locally. Subsequently, the presenter proceeds to craft a tailored system message for the application and refines the user interface to incorporate a text area accommodating user inputs, particularly concerning travel destinations. Following these adjustments, the presenter executes the code to verify its efficacy in handling travel-related inquiries. Concluding the demonstration, the presenter acknowledges the existing potential for enhancement in both the code and the user interface design.
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In the video titled “0091 Making a Language Learning iPhone App,” the presenter provides guidance to viewers on crafting a language learning application utilizing the AI manager interface introduced in previous projects. The process commences with opening the Xcode project associated with the chat application, where adjustments are made to the label text within the user interface. Additionally, modifications are applied to constraints and line numbers to ensure optimal content display. Subsequently, text generation is initiated using a method from a private server, wherein the system message is updated to “Welcome to Lingua Chat,” replacing the previous text related to the travel app. With the LM Studio server operational as a local private chat-type model, the application becomes functional. Users can engage in language practice sessions, receive real-time responses, and further evolve the interface into interactive quizzes, games, or gamified experiences. The presenter highlights the technological advancements in app development, enabling the creation of robust tools within shorter timeframes compared to previous methods.
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