blockchain

AI Benchmark Exploitation: Hyperparameter Tuning and Systematic P-Hacking Threaten Real Progress

According to @godofprompt, a widespread trend in artificial intelligence research involves systematic p-hacking, where experiments are repeatedly run until benchmarks show improvement, with successes ...
IEEE

Improving Optical Fiber Fault Detection in Multi-Reflective Failures with Optuna Hyperparameter Tuning Using Ensemble Learning

Abstract: Detection of multi-reflective failures in fiber optic networks using machine learning has been continuously developed to enhance network quality. However, its performance can still be ...
GitHub

P-ML: An End-to-End AutoML Framework for Deploying Classical Machine Learning Models on Resource-Constrained Devices

P-ML integrates Optuna-based hyperparameter tuning with stratified data splitting methods such as SPXY and K-Fold cross-validation to ensure robust and reliable model selection. The generated ...
InfoQ

Meta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
blockchain

NanoChat AI Bug Fix in SpellingBee Synthetic Task: Github User ericsilberstein1 Identifies Issue

According to Andrej Karpathy on Twitter, GitHub user ericsilberstein1 identified a bug in the NanoChat AI project, specifically affecting the SpellingBee synthetic task evaluation. Although the bug is ...
Los Angeles Times

I tried the $430 tuning fork facial. Here’s how it went

This is read by an automated voice. Please report any issues or inconsistencies here. I genuinely love a good facial — the ritual of it, the permission to lie still for 90 minutes, the way my skin ...
The New York Times

Tuning In

Sometimes we assume the people and things around us are neutral or hostile to our existence. What if the opposite could be true? By Melissa Kirsch Normally I pass my morning commute absorbed in a book ...
News Medical

Improving virtual screening with a heterogeneous consensus model

This article and associated images are based on a poster originally authored by Lin Chen, Vincent Blay, Pedro J. Ballester and Douglas R. Houston and presented at ELRIG Drug Discovery 2025 in ...
Geeky Gadgets

Easily Fine-Tune AI Models Like a Pro with Google Tunix

Have you ever wondered how to transform a general-purpose language model into a finely tuned expert tailored to your specific needs? The process might sound daunting, but with the right tools, it ...
marktechpost

Dynamic Fine-Tuning (DFT): Bridging the Generalization Gap in Supervised Fine-Tuning (SFT) for LLMs

Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued for its simplicity and ability to develop ...