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.
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Tutorial series: every part of a topic, in order.
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, 15 hours ago • 30 min read
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2
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, 7 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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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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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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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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Machine Learning
What an Agent Is, and When You Do Not Need One
A clear, practical definition of an AI agent, built from two contrasting examples, plus a checklist for deciding when a …
MLHub Agents & Robotics Organization
3 weeks, 3 days ago • 13 min read
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131
Large Language Models
Revolutionizing Information Access: Exploring the Powerful Applications of LLMs and…
Unlocking the Potential of Large Language Models with Enhanced Contextual Awareness for Smarter, More Relevant Insights Across Industries.
4 weeks, 1 day ago • 10 min read
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Latest News
All news-
Apple Intelligence finally arrives in China, but without the new Siri
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NVIDIA's Nemotron 3.5 Super VL Lands on AWS: One Model for Text, Images and Video Agents
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AWS Publishes a Blueprint for Running AI Agents Safely Across a Whole Company
• 5 min read
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How Exowatt's fine-tuned small models outperformed frontier AI on solar-plant tasks
• 6 min read
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