Definition: Automated processes for building ML models, including hyperparameter tuning, feature engineering, and model deployment. AutoML: AI Building AI The Ultimate Vibe If Vibe Coding is “using AI to write code,” AutoML is “using AI to write AI.” Instead of manually picking a model (Random Forest vs. Neural Net) and tuning learning rates, you just…
Definition: A neural network system learning to extract important information through compression, consisting of an encoder and decoder component. What is it? An Auto-Encoder takes a big input (like an image), squashes it into a tiny vector (Latent Space), and then tries to recreate the original image from that vector. It learns to keep only…
Definition: A metric between 0.0 and 1.0 representing binary classification models’ ability to separate positive from negative classes. What is AUC? Area Under the ROC Curve (AUC) is the single best number to tell if your binary classifier (e.g., Spam vs. Ham) is actually working. Vibe Coding Context In Vibe Coding, you often build simple…
Definition: A quality or characteristic describing an observation, such as colour or size, equivalent to feature in machine learning contexts. Attributes in Code vs. AI Prompting for Attributes When asking AI to generate data or mock objects, you must be explicit about the attributes. Feature Engineering with AI If you are doing ML, you can…
Definition: A neural network mechanism indicating the importance of particular words or parts, compressing information needed to predict next tokens in transformers. The Breakthrough Before “Attention,” AI read sentences left-to-right and often forgot the beginning by the time it reached the end. Attention allows the model to look at every word at once and decide…
Definition: Computer systems designed to mimic brain structures, composed of interconnected nodes organized in layers for processing information. How it Works (Simply) An ANN is a giant voting machine. Why Vibe Coders Should Care You don’t need to build ANNs to use them, but understanding their structure explains their failures. Coding with ANNs The Limitation…
Definition: Any intelligence demonstrated by machines, contrasting with natural intelligence in humans and animals, including both narrow and general AI systems. Defining AI in 2025 For developers, AI has transitioned from “cool research demo” to “essential utility.” It is no longer just “Machine Learning models” you build; it is the Intelligence Layer you consume. The…
Definition: The discrepancy between exact values and their approximations in machine learning models. Understanding the Gap In Vibe Coding, “Approximation Error” isn’t just a math term—it’s a lifestyle. Managing the Error Margin Reducing the Error The “Vibe” is about reducing approximation error through Iterative Refinement. Expert Insight Don’t expect zero error on the first prompt….
Definition: Stereotyping, prejudice, or favouritism toward certain groups, affecting data collection, system design, and user interaction. The “Vibe” Can Be Biased “Vibe” is subjective. AI models are trained on the internet. The internet is biased. Therefore, the “Vibe” is biased. Coding Bias Mitigating Bias in Vibe Coding The Ethical Responsibility As a Vibe Coder, you…
Definition: A type of AI that matches or surpasses human cognitive capabilities across a wide range of tasks, capable of broad problem-solving and creativity. The Difference Between AI and AGI Vibe Coding in the Pre-AGI Era We are in the “Jagged Frontier” era. AI is superhuman at some things (regex, translation) and sub-human at others…