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Machine-learning

Articles and publications tagged Machine-learning across the Atmosphere.

25articles8publications
Bryan Anthonio
Bryan AnthonioSep 26, 2026
Jev by Example
Exploring Jev, TypeSafe AI’s new AI model that returns probabilities instead of prose.
llmmachine-learning
crumb
crumbAug 26, 2026
Personal Online RL
My first foray into agents with "Secret Agent Bubbles"
qwenai
Ewan's Project Documentation
Ewan's Project DocumentationAug 12, 2026
experai
A small language model training toolkit in Rust using the Candle ML framework, with CUDA/Metal acceleration and AT Protocol training-data ingestion.
rustmachine-learning
Today I Learned
Today I LearnedAug 6, 2026
Embeddings
Learned vector representations of meaning and similarity
artificial-intelligencemachine-learning
ewan's devlog
ewan's devlogAug 4, 2026
experai gets machine-readable output, opencode/MCP integration, and AT Protocol weight publishing
The CLI now supports --json and --support for scripting and tooling, an opencode plugin and stdio MCP server expose it as agent tools, and a new publish-weight command writes trained checkpoints to a PDS as chunked blobs.
experairust
ewan's devlog
ewan's devlogJul 27, 2026
New project — experai, an LLM training toolkit that refuses to swap
A Rust LLM training toolkit on Candle with hardware-aware auto-tuning, AT Protocol data sources, and a memory governor that throttles training rather than let the OS dip into swap.
experairust
Bryan Anthonio
Bryan AnthonioSep 14, 2025
The Shift from ML Engineering to AI Engineering
Exploring the key differences between ML and AI engineering, foundation models, and the challenges of building AI applications.
ai-engineeringfoundation-models
Alex Gude
Alex GudeAug 30, 2025
LLMs Make Python Scripts Free
I used to spend hours writing and saving little Python scripts. Now, with LLMs, I can get the same code in under a minute. Python scripts, and small programs in general, are effectively free.
generative-ailarge-language-models
Alex Gude
Alex GudeMay 31, 2025
How I Code With LLMs
Over the past few years, I've experimented with coding alongside large language models. This post shares how I integrate them into my workflow.
generative-ailarge-language-models
Alex Gude
Alex GudeFeb 2, 2025
How I Write with Large Language Models
OpenAI's ChatGPT 3.5 transformed my writing process when it came out. After years of experience using it, I've further refined my method of using LLMs. This post explains how.
generative-ailarge-language-models
Patrick's Blog
Patrick's BlogMay 13, 2024
Visually Representing *What* Neural Networks Learn
machine-learningai
Alex Gude
Alex GudeOct 15, 2023
Using Large Language Models To Clean Data
Manually fixing messy data is tedious and slow. But thankfully, LLMs are pretty good at piecing together mangled text. Read on to find out how!
generative-ailarge-language-models
Alex Gude
Alex GudeJun 26, 2023
Machine Learning Deployment: <br>Return Actions, Not Scores
A poorly designed machine learning model API will leave you trapped. Properly hiding your implementation will make life much easier!
machine-learningmachine-learning-engineering
Alex Gude
Alex GudeMay 29, 2023
Claude Solves SAT Analogies
Word2Vec failed to solve SAT analogies, can modern language models do better? A small test of Anthropic's Claude LLM.
generative-aimachine-learning
Alex Gude
Alex GudeApr 12, 2023
When Are Large Language Models Useful?
Large language models (LLMs) are incredibly valuable tools, but they're not for everything. Here's a simple rule to know when to use them and when to avoid them.
generative-ailarge-language-models
Alex Gude
Alex GudeFeb 13, 2023
How I Write with ChatGPT
OpenAI's ChatGPT is viewed as entertaining but not useful because it makes up facts. But I find it incredibly valuable for writing. Here is how I use it.
generative-ailarge-language-models
Alex Gude
Alex GudeJan 30, 2023
AI, Artists, and Technology
AI generated art took off with the open-source release of Stable Diffusion, leaving some artists worried. As an artist and machine learning engineer, here is my take.
generative-aimachine-learning
Alex Gude
Alex GudeOct 24, 2022
Using Scikit-learn Pipelines with Pandas Dataframes
Pandas and scikit-learn are two important libraries for building machine learning models. Here is how to get them to work together.
software-developmentmachine-learning
Alex Gude
Alex GudeSep 19, 2022
Computing Machine Learning Features in Real-time
Models often derive great value from real-time features, but computing them is hard because it has to be done quickly. Here is one way I have done it successfully.
machine-learningmachine-learning-engineering
Bryan Anthonio
Bryan AnthonioJul 24, 2021
Sentiment Analysis with Naive Bayes
How to implement sentiment analysis using a naive Bayes classifier.
machine-learningnlp
Bryan Anthonio
Bryan AnthonioFeb 13, 2021
Building a Simple Sentiment Classifier
How to train a linear model to perform sentiment analysis.
machine-learningnlp
Alex Gude
Alex GudeJun 30, 2020
Machine Learning Deployment: Shadow Mode
Deploying machine learning models is hard; Shadow Mode is one way to make testing a little easier.
machine-learningmachine-learning-engineering
Alex Gude
Alex GudeOct 28, 2019
Interview Question: What Machine Learning Metric to Use
One of my favorite questions to ask in an interview is "What metric should you use to decide if your model works?". Read on to find out what a good answer looks like!
machine-learninginterviewing
Chris McLeod
Chris McLeodAug 14, 2018
Machine Learning Can Identify the Authors of Anonymous Code
machine-learninglink