Tag: attention mechanism

Key Components of Large Language Models: Embeddings, Attention, and Feedforward Networks Explained

Key Components of Large Language Models: Embeddings, Attention, and Feedforward Networks Explained

Learn how embeddings, attention, and feedforward networks form the core of modern large language models like GPT and Llama. No jargon, just clear explanations of how AI understands and generates human language.

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Teaching with Vibe Coding: Learn Software Architecture by Inspecting AI-Generated Code

Teaching with Vibe Coding: Learn Software Architecture by Inspecting AI-Generated Code

Jan, 6 2026

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Jul, 6 2025

Velocity vs Risk: Balancing Speed and Safety in Vibe Coding Rollouts

Velocity vs Risk: Balancing Speed and Safety in Vibe Coding Rollouts

Oct, 15 2025

How Training Duration and Token Counts Affect LLM Generalization

How Training Duration and Token Counts Affect LLM Generalization

Dec, 17 2025

Latency Optimization for Large Language Models: Streaming, Batching, and Caching

Latency Optimization for Large Language Models: Streaming, Batching, and Caching

Aug, 1 2025

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