Expired50% confidenceFactExact time
Large language models' context windows have expanded from a few thousand tokens in early versions to hundreds of thousands or even millions of tokens
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
bilibili吴恩达_AndrewNg6/4/2026
Related Claims
VerifiedThe context windows of current mainstream large language models range from tens of thousands to hundreds of thousands of tokens.76% similarUnverifiedTraditional large language models are limited by context window sizes, typically handling only a few thousand to tens of thousands of tokens, making it impossible to process an entire project at once.75% similarUnverifiedThe context windows of current mainstream large language models have expanded to hundreds of thousands or even millions of tokens, but under ultra-long contexts the model's attention weights on earlier information decay significantly (the "lost in the middle" problem).75% similarVerifiedThe context window of large language models has expanded from the early 4K to the million-token level.75% similarUnverifiedThe context window of large language models is limited, and the length of text that can be processed in a single inference is typically tens of thousands to hundreds of thousands of tokens.74% similar
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