Python remains the go-to language for mastering machine learning, offering a rich ecosystem of libraries, frameworks, and real-world projects to build practical skills. From predictive maintenance to ...

Two-stage sequential instruction tuning of Phi-3.5 Mini Instruct with QLoRA. Forgetting analysis across 3 checkpoints using Llama 3.3 70B as teacher and judge. - ...

In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an automated experimentation pipeline that clones the AutoResearch ...

Abstract: Realistic simulation of quantum key distribution (QKD) networks requires a combination of precise models of quantum channels and network functions. Unfortunately, existing QKD network ...

a python‑based ai system stability and evaluation framework integrating neural models, semantic analysis, statistical evaluation, hyperparameter optimization, and robustness testing to ensure ...

Abstract: Hyperparameter tuning is a crucial step in the development of machine learning models, as it directly impacts their performance and generalization ability. Traditional methods for ...