Uber’s iOS mobile Apps for Rider, Driver, and Eats are large in size. The choice of Swift as our primary programming language, our fast-paced development environment and feature additions, layered software and its dependencies, and statically linked pla
It may be that swift can do much more optimization of a struct with an 80K array than it might with nesting of struct that have multiple variable length arrays in them. I'll change my test to explore these options. As an example, here is roughly what the source data looks like in ...
CleanMyMac X is an all-around optimization app for your Mac, helping you find old large files, scan for malware, delete junk, uninstall apps, free up RAM, improve privacy, and much more. It features one-click scans for anything you want to optimize on your Mac. To allow Mac find larg...
Hi, thanks for the kind words. Are you experiencing this on iOS or Android ? I don't doubt Android will have memory problems with such images, but I don't know how iOS would behave. psyanite reacted with thumbs up emoji 👍
Understand various optimization algorithms like Gradient Descent, Stochastic Gradient Descent, RMSprop, and Adam. Overfitting: Understand the concept of overfitting (where a model performs well on training data but poorly on unseen data) and learn various regularization techniques (dropout, L1/L2 ...
After the AI optimization function takes effect, the device automatically optimizes the AI algorithm based on the historical data of the device within seven days. If the interference source around the device changes during the day and night, this function has good optimization effect. RF mode ...
Once you launch MacClean successfully, you will see the main interface as below: Please select Old & Large Files (2) under Cleanup Tools. Next, you will see the interface as below: To help you make regular checking, MacClean lists six common used folders as Default Folder (3) . You ca...
Ad Delivery Network Performance Optimization with Flame Graphs at MindGeek Predictive CPU isolation of containers at Netflix Improving HDFS I/O Utilization for Efficiency at Uber Cloud Jewels: Estimating kWh in the Cloud at Etsy Unthrottled: Fixing CPU Limits in the Cloud (2 parts) at Indeed ...
5. Inference optimization Text generation is a costly process that requires expensive hardware. In addition to quantization, various techniques have been proposed to maximize throughput and reduce inference costs. Flash Attention: Optimization of the attention mechanism to transform its complexity from quad...
Proximal Policy Optimization: This algorithm leverages a reward model that predicts whether a given text is highly ranked by humans. This prediction is then used to optimize the SFT model with a penalty based on KL divergence. Direct Preference Optimization: DPO simplifies the process by reframing ...