 Google Cloud
Google CloudCross-Cloud Network: Design global distributed applications at scale
Design global distributed applications at scale with Cross-Cloud Network
 Google Cloud
Google CloudHow Gramercy Tech used Imagen to deliver an innovative conference experience
Gramercy Tech leverages Imagen for cutting-edge conference experiences powered by generative AI and interactive storytelling.
 Google Cloud
Google CloudNew Spanner geo-partitioning improves performance and lowers costs
Spanner geo-partitioning enhances performance and reduces costs for globally distributed databases
 AWS ML
AWS MLGoverning the ML lifecycle at scale, Part 2: Multi-account foundations
Architecting a multi-account foundation for governing ML lifecycle at scale on AWS
 Meta
MetaAI Lab: The secrets to keeping machine learning engineers moving fast
Unlock the secrets of enhancing ML engineers' velocity through efficient TTFB management with AI Lab at Meta
 Salesforce
SalesforceThe Unstructured Data Dilemma: How Data Cloud Handles 250 Trillion Transactions Weekly
A deep dive into how the Data Cloud team handles 250 trillion transactions weekly and addresses challenges in managing unstructured data.
 Cloudflare
CloudflareQ2 2024 Internet disruption summary
Analyzing Internet disruptions and resilience based on observed disruptions in Q2 2024
 Cloudflare
CloudflareEliminating hardware with Load Balancing and Cloudflare One
Enhancing end-to-end private traffic flows by eliminating hardware with Cloudflare load balancing and Cloudflare One integration
 MIT AI
MIT AIHow to assess a general-purpose AI model’s reliability before it’s deployed
A technique to estimate the reliability of foundation models before deployment by training a set of models and assessing consistency of representations for better model selection in AI tasks.
 Apple ML
Apple MLWhispering Experts: Toxicity Mitigation in Pre-trained Language Models by Dampening Expert Neurons
Mitigating toxicity in pre-trained language models by dampening expert neurons for safer and less toxic models.
 Apple ML
Apple MLRevealing the Utilized Rank of Subspaces of Learning in Neural Networks
Analyzing how neural networks utilize the space available to learned weights through subspace transformation.
 Apple ML
Apple MLOn the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
Investigating the convergence to minimal degree interpolators in the generalization on the unseen setting for non-Boolean functions using random feature models and Transformers.