list out some latest changes regarding AI and ML introduced this year. From easy to hard to approach for beginner

Here are some of the latest changes regarding AI and ML introduced at this year's WWDC, organized from easier to more advanced approaches for beginners:

1. Built-in Intelligence and APIs: Apple has integrated new language capabilities into the OS, which can be used for features like writing tools that help with text rewriting, proofreading, and summarizing. These capabilities are available through standard UI elements, making it easy to integrate into apps (Explore machine learning on Apple platforms).

2. CreateML Enhancements: The CreateML app now includes an object tracking template and new components for time series classification and forecasting. These tools are designed to make it easier for developers to train and deploy models without needing extensive ML expertise (What’s new in Create ML).

3. Running Models on Device: Developers can now run a wide array of models, including large language models and diffusion models, directly on Apple devices. This is facilitated by Apple's frameworks, which support models from open-source communities like Hugging Face (Explore machine learning on Apple platforms).

4. Advanced Model Training: For those interested in training models, Apple Silicon provides hardware acceleration and unified memory, supporting frameworks like PyTorch and TensorFlow. This allows for efficient training and deployment of custom models (Platforms State of the Union).

5. Research and Open Source Tools: Apple has released open-source tools like MLX and Cornet, which are designed for researchers to explore new ideas and train a wide range of models. These tools are built to leverage Apple Silicon's capabilities (Explore machine learning on Apple platforms).

These advancements provide a range of options for developers, from leveraging built-in intelligence to training custom models on Apple hardware.