Cloud Computing

As Large Language Models (LLMs) evolve, Reinforcement Learning (RL) is becoming the crucial technique for aligning powerful models with human preferences and complex task objectives. However, enterprises that need to implement and scale RL for LLMs are facing infrastructure challenges. The primary hurdles include the memory contention from concurrently hosting multiple large models (such as […]

The best feedback during a code review is specific, consistent, and understands the history of a project.  However, AI code review agents today are often stateless; they have no memory of past interactions. This means you might find the same feedback on new pull requests that you’ve rejected before, because the agent can’t learn from

In today’s competitive environment, IT leaders are faced with supporting application scale, rolling out more features, and enabling high-bar customer experiences. This creates a direct and complex challenge: finding the right balance between performance and total cost of ownership (TCO) for the general-purpose workloads that power everyday business operations. Today, we are announcing the general

Written by: Stallone D’Souza, Praveeth DSouza, Bill Glynn, Kevin O’Flynn, Yash Gupta Welcome to the Frontline Bulletin Series Straight from Mandiant Threat Defense, the “Frontline Bulletin” series brings you the latest on the threats we are seeing in the wild right now, equipping our community to understand and respond.  Introduction Mandiant Threat Defense has uncovered exploitation

Google Public Sector is committed to supporting the critical missions of the U.S. Department of Defense (DoD) by delivering cutting-edge cloud, AI, and data services securely. Today, we are marking an important milestone in that commitment: we have successfully achieved Cybersecurity Maturity Model Certification (CMMC) Level 2 certification under the DoD’s CMMC program. This certification,

At its simplest, an agent is an application that reasons on how to best achieve a goal based on inputs and tools at its disposal. As you build sophisticated multi-agent AI systems with the Agent Development Kit (ADK), a key architectural decision involves choosing between a sub-agent and an agent as a tool. This choice

Data is the engine of modern telecommunications. For Ericsson’s Managed Services, which operates a global network of more than 710,000 sites, harnessing this data is not just an advantage, it’s essential for business growth and leadership. To power the future of its autonomous network operations and deliver on its strategic priorities, Ericsson has been on

n8n is a powerful yet easy-to-use workflow and automation tool for multi-step AI agents, and many teams want a simple, scalable, and cost-effective way to self-host it. With just a few commands, you can deploy n8n to Cloud Run and have it up and running, ready to supercharge your business with AI workflows that can