#NLP

5 posts tagged with "NLP"

Using Embedding Models to Predict Sentence Complexity

2024-10-24T22:41:07+01:00•14 min read

#nlp #embeddings #machine-learning #readability #bert #transformers

Traditional readability formulas miss the mark. Modern embedding models can capture semantic nuance and syntactic structure, but do they actually predict complexity better?

The Geometry of Grammar: An Investigation into Interpretable Dimensions in Word Embeddings

2024-10-24T15:57:04+01:00•13 min read

#nlp #word-embeddings #machine-learning #interpretability #visualization

Does a simple 'tense axis' exist in word embeddings? Explore the geometric reality of grammatical structure in AI language models, from Word2Vec's elegant linear analogies to BERT's complex contextual transformations.

The Embedding Dilemma: Why Your RAG Fails and How to Think in Chunks

2024-10-24T10:56:28+01:00•7 min read

#ai #rag #embeddings #vector databases #machine learning #nlp

Discover 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 Models

2024-10-15T13:36:43+01:00•34 min read

#ai #machine learning #nlp #knowledge graphs #graph neural networks

How 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 Tokenization

2024-09-03T13:47:30+01:00•38 min read

#nlp #tokenization #morphology #linguistics #ai #language-models

Language models can write poetry but struggle with basic spelling. Discover why current tokenization breaks language, and how morphology-aware approaches fix it.