Chatbot Showdown: Using LLMs to Build Scala Applications with Typelevel Stack

2023/06/26

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The article showcases the use of Language Model Microservices (LLMs) to build chatbots in Scala using the Typelevel stack. The author explains how LLMs can be used to build conversational interfaces that can understand natural language and provide relevant responses. They also highlight the benefits of using the Typelevel stack, which includes libraries such as Cats, Circe, and Http4s, for building functional and composable applications.

The article provides a step-by-step guide on how to build a chatbot using LLMs and the Typelevel stack. It includes code snippets that demonstrate how to use the libraries and build the chatbot. The author also explains how to deploy the chatbot on Kubernetes using Skaffold.

For developers interested in building chatbots or conversational interfaces, this article provides a useful introduction to using LLMs and the Typelevel stack. It highlights the benefits of using functional programming for building composable and maintainable applications. The code snippets and step-by-step guide make it easy for developers to get started with building their own chatbots using these technologies.

Overall, the article is a great resource for developers looking to keep up with the latest trends in chatbot development and functional programming. It demonstrates how LLMs and the Typelevel stack can be used to build powerful and flexible chatbots that can understand and respond to natural language.