Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
SiliconANGLE

Google open-sources speedy DiffusionGemma text diffusion model

Google LLC today released DiffusionGemma, a large language model based on an emerging machine learning approach known as text diffusion. The company says the algorithm can generate text four times ...
VentureBeat

Researchers say they trained a foundation model from scratch for about $1,500

Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path. To overcome this brute-force ...
Futurism

New AI Trained Only on Pre-1930 Data Speaks Like the Most Old-Timey Guy Imaginable

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Tired ...
IEEE

Graph-Enhanced Visual Prompting for Pre-Trained Models Adaptation in Medical Imaging Classification

Abstract: Adapting Vision Transformers (ViTs) for medical imaging is constrained by the scarcity of data and high-quality annotations, hindering effective training and robust generalization. Visual ...
decrypt

This AI Was Trained Only on Pre-1930 Text. We Asked It About Hitler, Stocks, and the Future

Add Decrypt as your preferred source to see more of our stories on Google. Talkie-1930 is a 13B open-weight LLM trained on 260 billion tokens of text published before January 1, 1931. The hard ...
BioSpace

Xaira Therapeutics Launches X-Cell, Its First Virtual Cell Model, Trained on the Largest-Ever Genome-Wide Perturbation Dataset, X-Atlas/Pisces

State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...
IEEE

Fine-Tuning Pre-trained Transformer-Based Models for Sentence-Level Medical Text Classification

Abstract: This paper presents the development of sentence-level medical text classifiers by fine-tuning eight pre-trained transformer-based models on the PubMed 20k RCT dataset. The models span both ...
Scientific Research Publishing

Wu, S., & He, Y. (2019). Enriching Pre-Trained Language Model with Entity Information for Relation Classification. In Proceedings of the 28th ACM International Conference on ...

ABSTRACT: In today’s data-driven business environment, small and medium-sized enterprises (SMEs) struggle to implement effective knowledge management (KM) due to limited financial, technical, and ...