Paul Iusztin – Medium

Paul Iusztin

Featured Book

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

2024

Maxime Labonne, et al.

Maxime Labonne, Paul Iusztin

Stories

Pinned

Published in
Data Science Collective

Building a TikTok-like recommender

Scaling a personalized recommender to millions of items in real-time

Mar 8

Building a TikTok-like recommender

Mar 8

Pinned

Published in
Decoding ML

An End-to-End Framework for Production-Ready LLM Systems by Building Your LLM Twin

From data gathering to productionizing LLMs using LLMOps good practices.

Mar 16, 2024

An End-to-End Framework for Production-Ready LLM Systems by Building Your LLM Twin

Mar 16, 2024

Join for content on building production-grade ML/AI systems

Proven content on designing, coding, and deploying production-grade AI, GenAI, and information retrieval systems - built with ML systems, MLE, and MLOps best practices.

By signing up, you will create a Medium account if you don’t already have one. Review our Privacy Policy for more information about our privacy practices.

Medium sent you an email at to complete your subscription.

Pinned

Published in
Decoding ML

The LLMs kit: Build a production-ready real-time financial advisor system using streaming…

Lesson 1: LLM architecture system design using the 3-pipeline pattern

Jan 5, 2024

The LLMs kit: Build a production-ready real-time financial advisor system using streaming…

Jan 5, 2024

Pinned

Published in
TDS Archive

A Framework for Building a Production-Ready Feature Engineering Pipeline

Lesson 1: Batch Serving. Feature Stores. Feature Engineering Pipelines.

Apr 28, 2023

A Framework for Building a Production-Ready Feature Engineering Pipeline

Apr 28, 2023

Published in
Decoding ML

The Ultimate Prompt Monitoring Pipeline

Master monitoring complex traces and evaluation while in production

Nov 30, 2024

The Ultimate Prompt Monitoring Pipeline

Nov 30, 2024

Published in
Decoding ML

Beyond Proof of Concept: Building RAG Systems That Scale

A hands-on guide to architecting production LLM inference pipelines with AWS SageMaker

Nov 18, 2024

Beyond Proof of Concept: Building RAG Systems That Scale

Nov 18, 2024

Published in
Decoding ML

The Engineer’s Framework for LLM & RAG Evaluation

Stop guessing if your LLM works: A hands-on guide to measuring what matters

Nov 18, 2024

The Engineer’s Framework for LLM & RAG Evaluation

Nov 18, 2024

Published in
Decoding ML

8B Parameters, 1 GPU, No Problems: The Ultimate LLM Fine-tuning Pipeline

Master production-ready fine-tuning with AWS SageMaker, Unsloth, and MLOps best practices

Nov 18, 2024

8B Parameters, 1 GPU, No Problems: The Ultimate LLM Fine-tuning Pipeline

Nov 18, 2024

Published in
Decoding ML

Turning Raw Data Into Fine-Tuning Datasets

How to automatically generate instruction datasets for fine-tuning LLMs on custom data

Nov 18, 2024

Turning Raw Data Into Fine-Tuning Datasets

Nov 18, 2024

Published in
Decoding ML

I Replaced 1000 Lines of Polling Code with 50 Lines of CDC Magic

The MongoDB + RabbitMQ stack that's revolutionizing LLM data pipelines

Nov 18, 2024

I Replaced 1000 Lines of Polling Code with 50 Lines of CDC Magic

Nov 18, 2024

Paul Iusztin

Paul Iusztin

Book Author

Senior AI/ML Engineer • Founder @ Decoding ML ~ Articles, code, and courses about building production-grade AI systems.

Following

Lists

📝 NLP

6 stories4 saves

🤖 Generative AI

4 stories5 saves

⭕️ MLOps

6 stories9 saves

Help
Status
About
Careers
Press
Blog
Privacy
Rules
Terms
Text to speech