Rust for ML: Building AI Tools and Data Pipelines in 2026
Learning Rust for ML engineering—building AI tools with Polars, Qdrant, and planning semantic search projects like Pyversity and Semhash
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Arabic NLP Fundamentals: Sparse Embeddings, BM25 & Dynamic Programming
Rebuilding NLP fundamentals for Arabic: TF-IDF, BM25, sparse embeddings, minimum edit distance, and learning problem-solving through LeetCode and Jurafsky's Speech and Language Processing book.
AraModernBert vs AraBERT v2: Arabic Tokenizer Comparison
AraModernBert vs AraBERT v2 tokenizers for Arabic NLP. Test results: AraModernBert is 15-71% more efficient. Fertility, compression ratio, and practical performance on MSA and dialect text.