For most teams, models and datasets live in a bucket in one region of one cloud. The GPUs you can get, whether for development, training, or serving, increasingly sit on a different cloud than your data. The moment those two come apart, you pay a cross-cloud transfer tax just to read your own data onto…
Model customization transforms general-purpose AI models into specialized enterprise assets. By fine-tuning foundation models (FMs) on domain-specific data, businesses teach AI their unique workflows, terminology, and deep domain specialization, along with strict adherence to brand voice and fewer hallucinations. For enterprises, this is more than an optimization. It’s the creation of proprietary intellectual property. A…
Two frontier AI model developers, OpenAI and Google, have reportedly been supplying Chinese tech giants in violation of a Pentagon blacklist. Both companies have been selling access to their AI models to Singaporean subsidiaries of Alibaba, Baidu, and Tencent, three of China’s leading technology companies. It suggests that US government efforts to slow China’s AI…
# Inroduction This article is part of my noob series where we write about the questions people Google most but may not understand well because of complex math and everything. So, if you are here, you might have heard fine-tuning somewhere in the context of large language models (LLMs) especially. This concept already existed in…
Update, July 11, 2025: OpenAI employee Jason Liu put the autonomous post-training into context. Sol didn’t come up with a complete training recipe from scratch, since most of the configuration already existed from Sol’s own post-training. The actual task was adapting that setup for the smaller Luna model and running the training job. According to Liu,…
Featured projects Code available at: and TL;DR In this blog post, we present various novel kernel fusion techniques for common normalization ops like LayerNorm and RMSNorm, which provide significant speedup by reducing the memory-IO overhead of these highly memory-bound kernels. We start with a brief overview of the modeling importance as well as performance challenges…
Listen to the article 2 min This audio is auto-generated. Please let us know if you have feedback. Dive Brief: Johnson & Johnson has won Food and Drug Administration approval for a catheter that delivers radiofrequency and pulsed field energy to treat atrial fibrillation. The approval, which J&J disclosed Wednesday, covers the Dual Energy Thermocool…
This article is sponsored by ODAIA and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Pharma is leaving revenue and patients on the table because strategy isn’t reaching the field with the speed or…
In this article, you will learn how to choose the right memory strategy for an AI agent by working through a simple decision tree, one category of information at a time. Topics we will cover include: The four types of agent memory — working, semantic, episodic, and procedural — and what each one assumes about…
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team built the entire feature in approximately a week and a half, largely using Claude Code itself. The launch marks a major inflection point…