The main objective of this code is to provide different identification methods to build linear models of dynamic systems, starting from input-output collected data. The models can be built as transfer ...
Abstract: Large language models (LLMs) trained on code-completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LLMs can be ...
Abstract: The performance of the recursive least-squares (RLS) algorithm is governed by the forgetting factor. This parameter leads to a compromise between (1) the tracking capabilities and (2) the ...
Horizon Quantum Computing Pte. (NASDAQ:HQ) used its appearance at Needham & Company's 21st annual Technology, Media, & Consumer Conference to outline its strategy as a newly public quantum software ...
XDA Developers on MSN
I tried a new 8B local LLM, and its design might be the biggest shift since DeepSeek R1
Zaya1-8B is a huge shift in LLMs, and the results are impressive.
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