Using Embedding Models to Predict Sentence Complexity2024-10-24T22:41:07+01:00•14 min read#nlp#embeddings#machine-learning#readability#bert#transformersTraditional readability formulas miss the mark. Modern embedding models can capture semantic nuance and syntactic structure, but do they actually predict complexity better?
The Embedding Dilemma: Why Your RAG Fails and How to Think in Chunks2024-10-24T10:56:28+01:00•7 min read#ai#rag#embeddings#vector databases#machine learning#nlpDiscover why monolithic embeddings fail for RAG systems and learn how chunking strategies can transform your retrieval performance.
Beyond the Page: The Rise of Graph-Structured Knowledge in Language Models2024-10-15T13:36:43+01:00•34 min read#ai#machine learning#nlp#knowledge graphs#graph neural networksHow graph-based representations are transforming language models beyond sequential text to unlock deeper reasoning capabilities
Why Language Models Still Can't Spell: The Case for Morphologically-Aware Tokenization2024-09-03T13:47:30+01:00•38 min read#nlp#tokenization#morphology#linguistics#ai#language-modelsLanguage models can write poetry but struggle with basic spelling. Discover why current tokenization breaks language, and how morphology-aware approaches fix it.