Abstract: Model-Based Systems Engineering (MBSE) is pivotal for managing the complexity of modern systems. However, applying MBSE to complex products, especially in automatically generating accurate ...
Historically, data center design was linear: Size the facility to meet demand forecasts and hope for the best. Power and ...
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Teaching large language models how to absorb new knowledge
MIT researchers developed a technique that enables LLMs to permanently absorb new knowledge by generating study sheets based on data the model uses to memorize important information.
Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
No these files are not expected to parse. The Analysis.sysml file is very old, and it no longer reflects current SysML v2 syntax. It is not used and should have been deleted from the repository some ...
LLMs are AI trained to generate text, crucial for various applications like chatbots. Training involves analyzing vast text data to learn language patterns and context. Concerns exist over copyright ...
Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that's messy, hard to change safely, and often opaque about what's really ...
Abstract: To tackle the insufficient representation of uncertainty and weak structural adaptability in nonlinear system modeling, a dynamic interval type-2 fuzzy stochastic configuration network ...
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