examples of tasks foundation model might be good at

Foundation models, as discussed in Apple's WWDC sessions, are particularly adept at a variety of tasks. Here are some examples of tasks they might be good at:

1. Text Summarization: Foundation models can be fine-tuned to summarize text efficiently, making them useful for creating concise versions of longer documents or articles.

2. Proofreading: They can assist in proofreading by identifying grammatical errors and suggesting corrections.

3. Generating Mail Replies: These models can be specialized to generate appropriate responses to emails, streamlining communication.

4. Content Generation: They are capable of generating content for various applications, such as creating dialogue for characters in games or generating personalized search suggestions.

5. Text Extraction: Foundation models can extract relevant information from text, which can be useful in applications like data analysis or information retrieval.

6. Classification: They can classify text into different categories, which is useful for organizing and managing large volumes of data.

7. Customized Learning: The models can be used to create personalized learning experiences by generating educational content tailored to individual needs.

8. Tool Calling: The models can autonomously decide to use additional tools or functions to enhance their responses, such as fetching up-to-date content or referencing specific information.

These tasks highlight the versatility and potential of foundation models in enhancing app functionalities and user experiences. For more detailed insights, you can refer to sessions like Platforms State of the Union and Meet the Foundation Models framework.