-
Researchers from ETH Zurich, EPFL, and Microsoft Introduce QuaRot: A Machine Learning Method that Enables 4-bit Inference of LLMs by Removing the Outlier Features
-
TFB: An Open-Source Machine Learning Library Designed for Time Series Researchers
-
Condition-Aware Neural Network (CAN): A New AI Method for Adding Control to Image Generative Models
-
Meet ChemBench: A Machine Learning Framework Designed to Rigorously Evaluate the Chemical Knowledge and Reasoning Abilities of LLMs
-
Gretel AI Releases Largest Open Source Text-to-SQL Dataset to Accelerate Artificial Intelligence AI Model Training
-
This Machine Learning Research Presents a Review on Advancing Differential Privacy in High-Dimensional Linear Models: Balancing Accuracy with Data Confidentiality
-
TWIN-GPT: A Large Language Model-based Digital Twin Creation Approach for Clinical Trials
-
Introducing improvements to the fine-tuning API and expanding our custom models program
-
Meet Candle: A Minimalist Machine Learning Framework for Rust that Focuses on Performance (Including GPU Support) and Ease of Use
-
AssemblyAI Unveils Universal-1: Surpassing Whisper-3 with Groundbreaking Accuracy and Speed in Speech Recognition