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Decoding ML

Battle-tested content on designing, coding, and deploying production-grade ML & MLOps systems. The hub for continuous learning on ML system design, ML engineering, MLOps, large language models (LLMs), and computer vision (CV).

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Machine Learning

Razvant Alexandru in Decoding ML

Jun 14

The LLM-Twin Free Course on Production-Ready RAG pipelines.

Learn how to build a full end-to-end LLM &…

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Razvant Alexandru in Decoding ML

Jun 9

How to evaluate your RAG using RAGAs Framework

How to evaluate your RAG, following the best industry…

1 response

Paul Iusztin in Decoding ML

May 31

Architect scalable and cost-effective LLM & RAG inference pipelines

Design, build and deploy RAG…

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Razvant Alexandru in Decoding ML

May 17

How to fine-tune LLMs on custom datasets at Scale using Qwak and CometML

How to fine-tune a…

2 responses

Vesa Alexandru in Decoding ML

May 10

LLM TWIN COURSE: BUILDING YOUR PRODUCTION-READY AI REPLICA

The Role of Feature Stores in Fine-Tuning…

Paul Iusztin in Decoding ML

May 3

The 4 Advanced RAG Algorithms You Must Know to Implement

Implement from scratch 4 advanced RAG methods…

12 responses

Paul Iusztin in Decoding ML

Apr 19

SOTA Python Streaming Pipelines for Fine-tuning LLMs and RAG — in Real-Time!

Use a Python streaming…

Razvant Alexandru in Decoding ML

Apr 18

Master ML configuration files using OmegaConf and Hydra

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Paul Iusztin in Decoding ML

Mar 30

A Real-time Retrieval System for RAG on Social Media Data

Use a streaming engine to populate a vector…

Vesa Alexandru in Decoding ML

Mar 22

The Importance of Data Pipelines in the Era of Generative AI

From unstructured data crawling to…

4 responses