provide the use of dataclass

Dataclasses in Flyte are used to define structured data types that can be serialized and deserialized efficiently. They allow you to group multiple related data fields into a single object, making it easier to manage and pass complex data structures between tasks in a Flyte workflow. Dataclasses are serialized using the Mashumaro library to MessagePack bytes, which ensures efficient data transport between tasks. This serialization format overcomes limitations of JSON serialization, such as type conversion issues with integers and floats in Protobuf structs. Would you like more detail on how to implement dataclasses in Flyte workflows? Sources: - Flyte Dataclass Overview - Flytekit Type Engine 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

yes

Prefer pydantic

ok, Ketan Will check that