marktechpost

A Coding Implementation to Run Qwen3.5 Reasoning Models Distilled with Claude-Style Thinking Using GGUF and 4-Bit Quantization

In this tutorial, we work directly with Qwen3.5 models distilled with Claude-style reasoning and set up a Colab pipeline that lets us switch between a 27B GGUF variant and a lightweight 2B 4-bit ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
ascopubs.org

Innovative Research Organization to Facilitate Clinical Trials Implementation in the Era of Molecular Oncology: The Spiderweb Model of the Oncodistinct Network

View all available purchase options and get full access to this article. The following represents disclosure information provided by authors of this manuscript. All relationships are considered ...
Recycling Today

Heil introduces a Common Body platform for its DuraPack Python and Half/Pack models

Heil, with corporate headquarters in Chattanooga, Tennessee, and a manufacturing facility in Payne, Alabama, has introduced its Common Body platform, an engineering advancement that brings together ...
GitHub

LSTM-based Li-ion Battery Aging Prediction

PyTorch Lightning implementation of an LSTM-based encoder-decoder for battery aging prediction. The model is optimized for training/prediction speed and prediction accuracy and can be applied for ...
Scientific Research Publishing

Ihsan, U., & Mehmet, B. (2023). Daily Air Temperature Forecasting Using LSTM-CNN and GRU-CNN Models. Acta Geophysica, 72, 2107-2126.

ABSTRACT: Under the context of global climate change, the frequent occurrence of strong winds in Guyuan has significantly hindered the development of local facility agriculture. Using hourly ...
devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...