Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding ...
I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...
Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...
c-lasso is a Python package that enables sparse and robust linear regression and classification with linear equality constraints on the model parameters. For detailed info, one can check the ...
Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you if: you're new to few-shot learning and want to learn; or you're looking ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
feature TrapC, a memory-safe version of the C programming language, is almost ready for testing. "We're almost there," Robin Rowe told The Register in a phone interview. "It almost works." We caught ...
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