InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
IEEE

Flexible and Secure Code Deployment in Federated Learning using Large Language Models: Prompt Engineering to Enhance Malicious Code Detection

Abstract: Federated Learning is a machine learning methodology that emphasizes data privacy, involving minimal interaction with each other’s systems, primarily exchanging model parameters. However, ...
MIT Technology Review

Yann LeCun’s new venture is a contrarian bet against large language models

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.
IEEE

Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market

Abstract: This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series ...
techxplore

No-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...