ML Fundamentals
Open Source Models
AI models whose code and weights are publicly available, anyone can download, modify, and use them freely.
Definition
AI models released with publicly accessible weights, code, and often training details. Examples include Llama, Mistral, and Stable Diffusion. Enable customization, transparency, and on-premises deployment.
Why it matters
Democratizes AI access and enables companies to own their AI infrastructure without vendor lock-in.
Related terms in ML Fundamentals
Activation Functions
The "switch" inside a neural network that decides whether a neuron should fire, allowing the AI to learn complex non-linear patterns.
Active Learning
A technique where the AI asks humans to label only the most confusing examples, saving time and money on data labeling.
Anomaly Detection
Finding the "weird" stuff in a dataset, like a credit card charge in a foreign country or a broken machine part.
Artificial General Intelligence (AGI)
A hypothetical "super-AI" that can learn and do any intellectual task a human can do, not just one specific thing.
From vocabulary to outcomes
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