<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Motahar Mahtab · Blog</title><description>Personal website of Md. Motahar Mahtab, Senior Associate Engineer – AI at ZS Associates. Agentic AI for pharma R&amp;D, multi-agent LLM systems, MLOps and Bangla NLP research (NAACL 2025, EMNLP 2023).</description><link>https://motahar-mahtab.com/</link><language>en</language><item><title>Sparse Transformers Explained, Part 1</title><link>https://medium.com/@mahtab27672767/sparse-transformers-explained-part-1-aacbe10dca4a</link><guid isPermaLink="true">https://medium.com/@mahtab27672767/sparse-transformers-explained-part-1-aacbe10dca4a</guid><description>How Sparse Transformers cut the quadratic cost of attention by factorising it into strided and fixed patterns, and what that buys you in context length.</description><pubDate>Mon, 29 Apr 2024 00:00:00 GMT</pubDate><category>transformers</category><category>attention</category><category>deep-learning</category></item></channel></rss>