Learning path · 11 parts
AI Agents Fundamentals
by MLHub Labs · 11 parts · about 226 min · intermediate
What an agent is, how the loop of thinking and acting works and when a simple workflow is the better choice.
Machine Learning
Articles about ML algorithms and techniques
Learning paths
Tutorial series: every part of a topic, in order.
Learning path · 3 parts
Machine Learning Fundamentals
by Gurpreet Deol · 3 parts · about 41 min · beginner
The ideas every later path relies on: data, models, loss, generalization and the workflow of a project.
Articles
Machine Learning
Hands-On: An Agent in Plain Python, No Framework
Build a working tool-using agent from scratch in plain Python: the loop, a tool registry, error handling, a human approval …
MLHub Agents & Robotics Organization
1 day, 14 hours ago • 30 min read
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Machine Learning
Accuracy Is Not Enough: Five Metrics Stories
Accuracy is the easiest metric to understand and one of the easiest to be fooled by. Five small, worked examples …
The MLHub Posts Organization
3 days, 6 hours ago • 14 min read
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24
Machine Learning
The Doorstep Greeter: What We Build, and the Rules for Filming People
An introduction to a twelve-part project that builds a face-recognising doorbell camera on a Raspberry Pi, and a careful look …
MLHub Deep Learning Organization
5 days, 6 hours ago • 20 min read
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59
Machine Learning
Choosing a Framework, or None
A practical look at what agent frameworks actually do for you, the main categories on the market, and a decision …
MLHub Agents & Robotics Organization
6 days, 6 hours ago • 16 min read
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65
Machine Learning
Human in the Loop
How to design checkpoints where a person reviews, approves or corrects what an agent wants to do, and how to …
MLHub Agents & Robotics Organization
1 week, 1 day ago • 19 min read
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50
Machine Learning
Errors, Retries and Stopping Conditions
Agents fail differently from normal programs: tools time out, models hallucinate arguments, and loops can run forever. Here is how …
MLHub Agents & Robotics Organization
1 week, 3 days ago • 25 min read
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62
Machine Learning
Context Engineering
A practical look at what actually goes into an LLM's context window during an agent loop, why stuffing it with …
MLHub Agents & Robotics Organization
1 week, 5 days ago • 18 min read
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85
Machine Learning
Memory: Short-Term, Long-Term and Notes
How agents remember anything at all: what lives in the context window, what gets stored for later, and why a …
MLHub Agents & Robotics Organization
2 weeks, 2 days ago • 24 min read
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94
Machine Learning
Planning and Task Decomposition
Why breaking a goal into smaller, checkable steps often beats asking a language model to do everything in one go, …
MLHub Agents & Robotics Organization
2 weeks, 3 days ago • 21 min read
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102
Machine Learning
Workflows Versus Agents
A clear line between code that decides what happens next and a model that decides for itself, with worked examples …
MLHub Agents & Robotics Organization
2 weeks, 5 days ago • 22 min read
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85
Machine Learning
Tools and Function Calling
How a language model goes from predicting text to reliably triggering real actions: the mechanics of tool definitions, function calling …
MLHub Agents & Robotics Organization
2 weeks, 6 days ago • 17 min read
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106
Machine Learning
The Agent Loop: Observe, Think, Act
A close look at the cycle that makes an AI agent an agent: how it observes its situation, decides what …
MLHub Agents & Robotics Organization
3 weeks, 1 day ago • 21 min read
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