Understanding LLM Context Windows: Tokens, Attention, and Long-Context Challenges
Author(s): Rajesh Kumar Originally published on Towards AI. Why bigger context windows increase capacity — but also compute, memory pressure, noise, and architectural complexity. Your model supports 128K tokens. So you give it more context. Conversation history. Retrieved documents. Tool outputs. Logs. …
How Transformers Actually Work: From Attention to ChatGPT
Author(s): Rajesh Kumar Originally published on Towards AI. A beginner-friendly explanation of attention, Q/K/V, decoder-only models, and the architecture behind modern LLMs A Transformer is a neural network architecture designed to model relationships between elements in a sequence. After introducing transformers as …