ChatGPT, GPT-4, and LLMs are the talk of the town. But aside from racist chatbots, obviously incorrect quotes, and psychedelic images how can we really leverage these language models to improve our apps? Let’s discover APIs that offer services that we can really use in day-to-day development and go down the rabbit hole up until the point of using custom CoreML models and even training them. We’ll start with what Apple has given us with the Natural Language framework and slowly build our way up to the complex large language models (LLMs), such as ChatGPT and Whisper, that we can use for incredibly powerful applications.

There are many different layers to AI and machine learning on mobile and we can leverage the powers of the built-in processors to do powerful on-device machine learning tasks but sometimes it is just necessary to do compute-heavy tasks somewhere else. We'll explore all the possibilities that we have for this!

Get a concrete introduction to the fundamentals of connecting LLMs to external data by building your very own iOS chatbot in pure Swift!

In this workshop you will learn:

• The basic concepts of LLMs and text embeddings.
• The basics of vector databases, and how to create one for your data using an open source Swift framework and OpenAI's APIs.
• How to build a simple chatbot on top of your own custom database.

Large language models, like ChatGPT, have revolutionized the world, and iOS development is no exception. In this talk, we will explore the fascinating world of prompt engineering and its transformative impact on iOS app development. By leveraging the power of large language models, developers can significantly boost coding efficiency, enhance unit testing, and improve code coverage. This innovative approach not only streamlines the app creation process but also empowers developers to craft more robust and reliable applications with less effort. We will discuss real-world examples that demonstrate how incorporating these AI-driven models into your development workflow can substantially enhance your software's performance and functionality.

Machine learning has become an essential component for developing intelligent, personalized mobile applications. This talk focuses on effectively leveraging Firebase ML and Cloud Functions for seamless integration of ML models into your iOS applications. Gain insights on utilizing these powerful tools to create mobile applications that deliver exceptional user experiences, harnessing the power of machine learning and serverless computing.

In this workshop, I'll show you how GPT-Powered Coding is revolutionizing iOS development. Instead of following conventional solutions from Stack Overflow, you'll learn how to use GPT to generate high-quality, unique code that perfectly fits your app's needs. I'll walk you through the benefits of GPT, how it can improve your code quality and reduce development time, and showcase real-world examples of GPT-Powered Coding. You'll also gain practical guidance and tips for integrating GPT into your workflow.

In this workshop, you'll learn machine learning concepts and how to use CreateML to train models for image, text, and data classification. Through hands-on activities, you'll learn to train models to distinguish cats and dogs, classify text and images, and analyze tabular data. By the end of the workshop, you'll have the skills to integrate machine learning models into your iOS apps and have the chance to engage in discussions with the instructor and attendees.

More workshops will be announced in the next few weeks!