So I created a structured training dataset specifically for LLM ingestion. It covers: - Core API usage (SystemLanguageModel, LanguageModelSession, Tool protocol) - Advanced implementation (@Generable/@Guide macros, constrained decoding, tool chaining) - Strategic features (adapter training, multi-step workflows, Apple’s AI vision)
All written in Markdown, with production-tested Swift code from actual iOS 26 beta usage. Tokenized structure, progressive complexity, no fluff—just what a model needs to learn this framework from scratch.
Details + preview here: https://rileyhealth.gumroad.com/l/bwoqe
Happy to answer questions or provide a sample if helpful.
jameshart•7mo ago
rileygersh•7mo ago
I used AI research tools to systematically extract and organize Foundation Models knowledge from over 100 sites that wasn't in any training data. The value is in the methodology and validation, not just raw output.