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The AIOps Newsletter

Rami Krispin

Hands-on guides to the world of MLOps and AIOps.

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Substack
PricingOnly free issuesPublishesWeekly
Issues23Foundeda year agoLast Issue6 days ago
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Latest Issues

How to Read an LLM Model Label on Hugging Face

In the previous tutorial, we prepared the MLX LM environment, downloaded the mlx-community/Qwen2.5-0.5B-Instruct-4bit model, ran it locally with the MLX LM server, sent a prompt from the CLI, and received a response. That first result giv...

6 days ago
5

What is Docker Sandboxes?

AI coding agents are most useful when they can work autonomously. To inspect a repository, edit files, install packages, run tests, and build containers, an agent needs access to powerful tools. That access also creates a security problem:...

16 days ago
2
1

Getting started with MLX LM

In the first tutorial, we explored why MLX is a compelling framework for running local large language models on Apple Silicon. We saw how MLX uses the Mac’s unified memory architecture and how MLX LM adds a practical workflow for working wi...

a month ago
4

How to Inspect a Docker Image

In the previous tutorials, we built, published, and ran a Docker image containing a FastAPI application. Those steps confirmed that we could distribute the image and run the application, but they didn't show us the metadata and configuratio...

a month ago
1

Why MLX for local LLMs?

A few years ago, running a large language model (LLM) locally often meant building a home lab with NVIDIA GPUs. I remember my first attempt on my M1-generation Mac with 64 GB of unified memory. A simple prompt such as “Why is the sky blue?”...

a month ago
1

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  • Rami Krispin

    I write about data science, AI, MLOps, and forecasting.

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