Author: AI Generated Robotic Content

By Leo Isikdogan, Jesse Korosi, Zile Liao, Nagendra Kamath, Ananya Poddar At Netflix, we support the filmmaking process that merges creativity with technology. This includes reducing manual workloads wherever possible. Automating tedious tasks that take a lot of time while requiring very little creativity allows our creative partners to devote their time and energy to what …

Read more “Accelerating Video Quality Control at Netflix with Pixel Error Detection”

“How much will it cost to run our chatbot on Amazon Bedrock?” This is one of the most frequent questions we hear from customers exploring AI solutions. And it’s no wonder — calculating costs for AI applications can feel like navigating a complex maze of tokens, embeddings, and various pricing models. Whether you’re a solution …

Read more “Demystifying Amazon Bedrock Pricing for a Chatbot Assistant”

Stragglers are an industry-wide issue for developers working with large-scale machine learning workloads. The larger and more powerful these systems become, the more their performance is hostage to the subtle misbehavior of a single component. Training the next-generation large-scale models requires a new class of supercomputer, built by interconnecting tens of thousands of powerful accelerators. …

Read more “Taming the stragglers: Maximize AI training performance with automated straggler detection”