A 2026 practitioner's guide to LLM provenance: verify 'trained from scratch' claims with architecture, tokenizer, and embedding-CKA fingerprints - plus the open-weight lineage debate and public tools.
Post #1 covered the birth. Post #2 covered pruning. Post #3 covered cost awareness. Post #4 covered...
A technical deep-dive that cites and reproduces the Model DNA method in PyTorch - verifying 'trained from scratch' LLM claims via architecture config, tokenizer overlap, and Linear...
Typed inputs stop malformed calls. They don't stop an agent from calling the wrong tool with a well-formed, wrong argument. Here's how to design an MCP tool surface — constrained e...