
Paul Iusztin
@iusztinpaul
Senior Machine Learning Engineer โข MLOps โข Founder @ Decoding ML ~ Posts and articles about building production-grade ML/AI systems.
ID: 1238019064116776960
https://decodingml.substack.com/ 12-03-2020 08:28:49
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๐ฅณ The LLM Engineer's Handbook is officially released! I'm really proud of this book. It's a comprehensive guide to building and deploying LLM systems in the real world. This is the culmination of Paul Iusztin's and my experience writing LLM courses and articles online.



The top 10 fallacies of MLOps hopsworks.ai/post/the-10-faโฆ Aurimas Griciลซnas Pau Labarta Bajo Paul Iusztin Miguel Otero Pedrido

Excited to share insights from our recent (first ever) guest post on Decoding ML by Paul Iusztin ! We wrote about how a proper RAG + fine-tuning (hybrid) setup can reduce expenses by 88% on our own AI tutor :



๐ฅ LLM & RAG Evaluation Playbook for Production Apps โ A Workshop with Paul Iusztin Paul Iusztin at #ODSCEast! This workshop is your blueprint for taking GenAI apps from demo to dependable. ๐ Register now: hubs.li/Q03hP5GH0


Deploying LLMs? Infrastructure isnโt just a detail. it's your competitive advantage. We've partnered with Paul Iusztin to benchmark DeepSeek-R1 across three popular deployment platforms, so you don't have to: โ GCP: Flexible, scalable, and production-ready! perfect for managed

5 practical AI books worth reading โฏ ๐๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ by Chip Huyen (Chip Huyen) โซ Comprehensive guide for building AI applications with foundation models, covering system design, deployment, and scaling. โฏ ๐๐ก๐ ๐๐๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ'๐ฌ ๐๐๐ง๐๐๐จ๐จ๐ค by Paul


