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Ryan Orban

Ryan Orban

Subject
3 entries

Efficiency

Bookmarks

  1. TOON: Token-Oriented Object Notation

    TOON (Token-Oriented Object Notation) is a compact data format for LLMs — ~40% fewer tokens than JSON while remaining human-readable. Combines YAML indentation with CSV-style tabular layouts, with TypeScript SDKs and CLI tools.

  2. Flash Attention: Training Examples

    Flash Attention's training examples from Hazy Research — demonstrating how to use the memory-efficient attention implementation for training large transformers. Flash Attention became one of the most impactful algorithmic contributions to LLM training efficiency.

  3. SLED: Efficient Long-Text Understanding with Short-Text Models

    SLED (Sliding-Encoder and Decoder) lets you apply short-context pretrained models to arbitrarily long documents by chunking input with overlap and fusing representations in the decoder. Competitive with specialized long-context models without the expensive custom pretraining.

All bookmarks