Unverified50% confidenceOpinionExact time
A 2000-line CFML file plus related include files can easily hit the LLM context window limit, causing the model to forget the beginning of the file or miss cross-file variable flows.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedLLM的上下文窗口从数千token扩展到数十万token，使模型得以看到整个代码仓库而非单个文件片段66% similarUnverifiedA blank VS Code instance typically consumes 200–400 MB of memory.62% similarUnverifiedLoading a state file into the prompt does not solve the amnesia problem, because as long as the content is in the window, it will be summarized along with everything else at the next compression.59% similarUnverifiedEven after quantization, a usable LLM weight file typically still ranges from hundreds of MB to several GB, which is a limitation of WebLLM's initial load time.59% similarUnverifiedLightweight libraries that read text streams directly, such as PyPDF and pdfplumber, do not load neural network models and typically consume memory on the order of tens of MB.58% similar
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