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Stanford launches Carina, a customizable high-risk data platform on Google Cloud, to reduce lead time for project setup and provide a secure on-premise compute environment for researchers.

Addressing the Challenges of Sample Ratio Mismatch in A/B Testing: This blogpost explores the challenges of sample ratio mismatch in A/B testing, provides examples of failures, and discusses solutions to reduce SRM rate.

C3D VMs with 4th Gen AMD EPYC Processors now GA, offering 45 percent performance increase

Exploring the concept of 'universal' words and analyzing reader suggestions to determine their universality.

New technique using generative AI solves packing problems for robots by satisfying multiple constraints simultaneously

Enhance Git performance analysis using Trace2 receiver with OpenTelemetry for detailed telemetry visualization

Exploring new perspectives on the PPO algorithm in hierarchical reinforcement learning

CIOs are investing in and leveraging data and AI to lay the foundation for AI-led growth, with high expectations for efficiency gains.

Improving traffic evacuations in cities using case study and traffic simulations

Llemma is an open language model for mathematics trained on a 55 billion token dataset that shows improved mathematical capabilities and can be adapted to various tasks through prompting or additional fine-tuning.

Rethinking the Role of PPO in RLHF: Introducing Pairwise Proximal Policy Optimization (P3O) to harmonize the reward learning and RL fine-tuning stages in Reinforcement Learning with Human Feedback (RLHF).

Google Cloud (Apigee) recognized as a Leader in the 2023 Gartner Magic Quadrant for API Management