Show HN: Efficient Data Formats for GPT

I ran a small test comparing different data serialization formats for use with GPT models (and possibly other LLMs). This is obviously very limited but it was striking how much of a difference switching from JSON to something like YAML could be.<p>I wonder if we might also see LLM specific data serialisation formats in the future, to make use of tokenization in the most efficient manner and enhance the generative capability of the models.

Why does the serialization need to be text based? Why not binary formats? Or use sqlite or other db for storage and retrieval? That might also help with not having to read all the data into memory at once (although it would be slower to run)