Anthropic's Claude Opus 4.1 Improves Refactoring and Safety, Scores 74.5% SWE-bench Verified
Claude Opus 4.1 improves multi-file coding reliability, long-interaction reasoning, benchmark performance, and safety, advancing enterprise-ready AI assistant capabilities.
Comprehensive Detection of Untrained Tokens in Language Model Tokenizers | HackerNoon
The disconnect between tokenizer creation and model training allows certain inputs, termed 'glitch tokens,' to induce unwanted behavior in language models.