Paul Iusztin
Founder at Decoding ML. Designs and implements modular, scalable, and production-ready ML systems for startups worldwide and co-author of The LLM Engineer's Handbook.
Best podcasts with Paul Iusztin
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May 5, 2025 • 1h
#300 End to End AI Application Development with Maxime Labonne, Head of Post-training at Liquid AI & Paul-Emil Iusztin, Founder at Decoding ML
Maxime Labonne, a Senior Staff Machine Learning Scientist at Liquid AI, and Paul-Emil Iusztin, founder of Decoding ML, delve into the fascinating world of AI application development. They tackle the complexities of deploying AI models, from understanding fine-tuning nuances to the critical RAG feature pipeline. Strategies for effective problem definition and the importance of scalable solutions are highlighted. The discussion also covers managing deployment costs and the balance between safety and model customization, making the technical accessible and engaging.
May 27, 2025 • 1h 7min
#050 Bringing LLMs to Production: Delete Frameworks, Avoid Finetuning, Ship Faster
Paul Iusztin, an AI engineer with eight years in the field, discusses the need to bypass common frameworks and fine-tuning in AI development. He emphasizes a hands-on approach, advocating for intuition over imitation to foster true innovation. His mantra? Build quickly, then refine without over-reliance on tools. The conversation also touches on the challenges of integrating large language models, the importance of tailored solutions, and innovative writing assistant development. Paul’s insights challenge the status quo and inspire a fresh perspective on AI production.
