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LLM Engineering
The Underrated Science of LLM Samplers
The secret sauce for balancing diversity, quality and precision
Nov 25, 2025
•
Shmulik Cohen | AI Superhero
46
8
9
Playbook to fine-tune and deploy LLMs
Specialized open-source LLMs for production
Mar 6, 2025
•
Paul Iusztin
104
4
15
From noisy docs to fine-tuning datasets
Generate instruct datasets for fine-tuning LLMs using distillation techniques
Feb 20, 2025
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Paul Iusztin
55
8
The ultimate LLM fine-tuning pipeline
Master production-ready fine-tuning with AWS SageMaker, Unsloth, and MLOps best practices
Nov 16, 2024
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Paul Iusztin
43
4
The ABCs of Diffusion Models
Your guide to ML’s next Big Thing
Oct 26, 2024
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Anca Ioana Muscalagiu
16
2
Embeddings: the cornerstone of AI & ML
Fundamentals of embeddings: what they are, how they work, why they are so powerful and how they are created.
Sep 14, 2024
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Paul Iusztin
33
3
How to fine-tune LLMs on custom datasets at Scale using Qwak and CometML
How to fine-tune a Mistral7b-Instruct model, leveraging best MLOps practices using Qwak for cloud deployments at scale and CometML for experiment…
May 23, 2024
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Alex Razvant
8
1
The Role of Feature Stores in Fine-Tuning LLMs
From raw data to instruction dataset
May 16, 2024
•
Vesa Alexandru
9
1
2
Decoding ML #010: Should You Even Know How Diffusion Models Work?
Part 2: Learn How to Train and Control a Diffusion Model With Your Favorite Prompt
Aug 3, 2023
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Paul Iusztin
1
PI #009: Let's Open the Stable Diffusion Black Box
Part 1: How Does a Stable Diffusion Model Learn to Generate Images?
Jul 27, 2023
•
Paul Iusztin
3
2
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