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Decoding ML

Engineering production ML systems

Ml System Design

Connecting the dots in data and AI systems

Connecting the dots in data and AI systems

Simplifying MLE & MLOps with the FTI Architecture

Oct 31

ML serving 101: Core architectures

ML serving 101: Core architectures

Choose the right architecture for your AI/ML app

Oct 26

Building ML Systems the Right Way Using the FTI Architecture

Building ML Systems the Right Way Using the FTI Architecture

The fundamentals of the FTI architecture that will help you build modular and scalable ML systems using MLOps best practices.

Aug 9

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

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

Use a Python streaming engine to populate a feature store from 4+ data sources

Apr 19

Mlops

The Ultimate Prompt Monitoring Pipeline

The Ultimate Prompt Monitoring Pipeline

Master monitoring complex traces and evaluation while in production

Nov 30

Beyond Proof of Concept: Building RAG Systems That Scale

Beyond Proof of Concept: Building RAG Systems That Scale

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

Nov 18

The Engineer’s Framework for LLM & RAG Evaluation

The Engineer’s Framework for LLM & RAG Evaluation

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

Nov 18

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

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

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