Author: Nishant Satya Lakshmikanth, Engineering Leader, LinkedIn Corporation Introduction In Part 1, we explored how Large Language Models (LLMs) are expanding the scope of recommender systems—from passive prediction tools to...
Author: Nishant Satya Lakshmikanth, Engineering Leader, LinkedIn Corporation Introduction Recommender systems have come a long way—from basic rule-based approaches to sophisticated machine learning pipelines that serve billions of personalized suggestions...
On July 11, 2025, LF AI & Data Day Singapore gathered developers, researchers, and open source contributors at TikTok’s One Raffles Quay office to explore how intelligent agents are reshaping...
Authors: Victor Lu, Consultant, Independent; Susan Malaika, Senior Technical Staff, IBM Artificial Intelligence (AI) is no longer just a buzzword—it’s a transformative force reshaping industries, research, and everyday life across...
Author: Vincent Caldeira, CTO of Red Hat in APAC This post concludes our three-part series on operationalizing GenAI transparency. Now that we’ve covered transparency frameworks and licensing, we’ll explore the technical...
Author: Vincent Caldeira, CTO of Red Hat in APAC This post is part two of our series on transparency in the GenAI supply chain. Following our introduction of the Model Openness...
Author: Vincent Caldeira, CTO of Red Hat in APAC This post is part one of a multi-part series exploring how the LF AI & Data community is operationalizing transparency in...
By Jason T. Clark This is Part 3 of a three-part blog series on the Rise of Agentic AI and how open source, and the LF AI & Data community,...
Introduction Artificial intelligence is being adopted across industries, but its rapid growth brings new risks and challenges. Organizations face issues like data bias, privacy concerns, unreliable outputs, and the potential...
By Jason T. Clark This is Part 2 of a three-part blog series on the Rise of Agentic AI and how open source, and the LF AI & Data community,...
