Context Window
Frequently Asked Questions
What happens if a prompt exceeds the context window?▼
The model will throw an error or truncate older tokens, leading to loss of memory or failure to follow initial instructions.
What is the 'needle in a haystack' test?▼
An evaluation benchmark that tests a model's ability to locate a specific fact placed inside a massive context window.
Quick Facts
- CategoryNeural Architectures
- Key ApplicationLong-form book analysis, multi-file codebase code editing, and chat history retention.
Coverage Trend12 Weeks
Related AI Terms
Context Window Media Coverage & Intelligence
Why a bigger context window won't fix your agent's memory
Context windows have grown fast. Models that once capped out at a few thousand tokens now advertise hundreds of thousands, and the natural assumption was that the agent memory problem would shrink as the window grew. Stuff more into the prompt, the th...
Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit
Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and con
Context windows in AI: why every token is a budget decision
Some of today's most capable LLMs now support very large context windows. That doesn't mean you should fill them. Context windows have grown fast, but the underlying cost and quality tradeoffs haven't gone away. They've just gotten easier to ignore. ...
Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline
LLM agents accumulate histories that outgrow their context windows, motivating a growing literature on memory sy
Accelerate LLM model loading and increase context windows with GPUDirect on Amazon FSx for Lustre and TurboQuant
If you're iterating on deploying large language models (LLMs) on AWS GPU instances, you've probably noticed the larger the model to be loaded into GPU High Band