Tag: attention mechanism
Long-Context Transformers for Large Language Models: How to Extend Windows Without Losing Accuracy
Long-context transformers let LLMs process huge documents without losing accuracy. Learn how attention optimizations like FlashAttention-2 and attention sinks beat drift, what models actually work, and where to use them - without wasting money or compute.
- Jan 9, 2026
- Collin Pace
- 5
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Contextual Representations in Large Language Models: How LLMs Understand Meaning
Contextual representations let LLMs understand words based on their surroundings, not fixed meanings. From attention mechanisms to context windows, here’s how models like GPT-4 and Claude 3 make sense of language - and where they still fall short.
- Sep 16, 2025
- Collin Pace
- 0
- Permalink