(Originally published on the Milvus blog by Lumina Wang) As multimodal AI continues to expand, from text-to-image generation to intelligent retrieval systems, developers are looking for ways to make these...
Author: Nishant Satya Lakshmikanth, Engineering Leader, LinkedIn Corporation Introduction In Part 1, we set the stage by examining how recommender systems evolved—from rule-based heuristics to deep learning and now toward...
By: Kate Blair, Director of Incubation, IBM Research & Todd Segal, Principal Software Engineer, Google IBM Research launched the Agent Communication Protocol (ACP) in March 2025 to power its BeeAI Platform, an open-source...
New report from LF AI & Data, LF Research, and Futurewei shows organizations are pursuing sovereign AI for greater data control, national security and localization AMSTERDAM — AI_dev — 26...
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...
