Definition: Normalizing input or output of activation functions in hidden layers to stabilize training and reduce overfitting. Batch Normalization: The Stabilizer What it does Neural networks get “moody” if the numbers flowing through them get too big or too small (Exploding/Vanishing Gradients). Batch Normalization forces the numbers to stay in a nice, standard range (mean…
Definition: Processing predictions on multiple unlabelled examples divided into smaller subsets, leveraging accelerator chip parallelization. Real-Time vs. Batch The Vibe Coding Workflow Vibe coding is usually real-time. But sometimes you need to “scale the vibe.” Parallelization Batch inference allows parallel processing. You can have 50 workers hitting the API simultaneously (within rate limits). Expert Takeaway…
Definition: A pre-trained model serving as a starting point for fine-tuning to address specific tasks or applications. Base Model vs. Chat Model Why Vibe Coders Need Base Models Most of the time, you use Chat models. But for Code Autocomplete (like Ghostwriter or Copilot FIM), Base Models are often better. Choosing Your Base If you…
Definition: A machine learning ensemble technique training multiple models on random subsets of data to improve stability and accuracy. Bootstrap Aggregating (Bagging) If you have one expert, they might be biased. If you have 50 experts and take the majority vote, you get a better answer. That’s Bagging. (Random Forest is the most famous example)….
Definition: A simplifying representation disregarding grammar and word order but keeping word multiplicity, used in NLP and information retrieval. What is it? BoW turns text into a list of word counts. “The cat sat” -> {‘the’: 1, ‘cat’: 1, ‘sat’: 1}. It ignores grammar (“The cat sat” is the same as “Sat cat the”). Why…
Definition: The algorithm implementing gradient descent in neural networks, calculating and propagating error gradients backward through layers to update weights. The Mechanics Forward pass: AI guesses. Backward pass (Backprop): AI sees the answer, calculates the error, and updates its brain to not make that mistake again. The “Vibe” Analogy: Feedback Loops You cannot “backpropagate” into…
Definition: A model architecture using transformers and self-attention for text representation, bidirectional context processing, and unsupervised training. BERT: The “Reader” of the AI World GPT vs. BERT Why BERT is still King in Vibe Coding You use GPT to write code. You use BERT to search code. The Retrieval Augmented Generation (RAG) Stack Vibe coding…
Definition: A language model determining token probability based on both preceding and following context text. Uni-directional vs. Bi-directional Coding is Bidirectional Code is highly interdependent. A function at the bottom of the file might call a variable defined at the top. A variable type might be inferred from how it’s used 50 lines later. In-Filling…
Definition: A model inferring predictions based on its own previous predictions, as seen in transformer-based language models. How GPT Actually Writes Code Autoregressive means “predicting the next thing based on the past things.” Why This Matters for Debugging Because the model writes linearly (left to right), it cannot “go back” and fix a mistake it…
Definition: AI systems capable of operating independently to pursue goals, make decisions, and interact with environments with minimal human supervision. The Dream You define the “What” (Build a landing page). The Agent figures out the “How” (Write HTML, write CSS, deploy to Vercel). The Reality in 2025 Autonomous agents (like AutoGPT or Devin) are impressive…