DoorDashCassandra Unleashed: How We Enhanced Cassandra Fleet’s Efficiency and Performance
Enhance Cassandra Fleet’s efficiency and performance through optimization techniques and best practices.
DatabricksWhat’s New in Data Engineering and Streaming - January 2024
Explore the latest developments in data engineering and streaming, including new features and functionalities, acquisitions, and industry recognition.
AWS MLBenchmark and optimize endpoint deployment in Amazon SageMaker JumpStart
Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart
MetaImproving machine learning iteration speed with faster application build and packaging
Improving machine learning iteration speed with faster build and packaging processes
Google CloudGetting started with Svelte on Google Cloud
Getting started with Svelte on Google Cloud - Learn how to develop and deploy production Svelte apps on Google Cloud using SvelteKit and Cloud Run.
Google CloudHow Visual Research reduced costs by 35 percent with the help of Google Cloud
Visual Research reduced costs by 35% and improved performance by adopting Google Cloud, eliminating manual tasks, and scaling to handle peak seasons.
Apple MLAcoustic Model Fusion for End-to-end Speech Recognition
Improving speech recognition through the fusion of an external acoustic model into an end-to-end system, resulting in a significant reduction in word error rate and enhanced named entity recognition.
Apple MLUser-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates
Efficient algorithms for user-level differentially private stochastic convex optimization with optimal rates.
Apple MLInvestigating Salient Representations and Label Variance Modeling in Dimensional Speech Emotion Analysis
Investigating the impact of salient representations and label variance modeling on dimensional speech emotion analysis
Apple MLLarge-scale Training of Foundation Models for Wearable Biosignals
Large-scale training of foundation models for wearable biosignals using self-supervised learning on curated Apple Watch data
Apple MLCo-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices
Co-ML is a collaborative machine learning model building tool that fosters hands-on learning of dataset design practices through a distributed experience.
Modular AIModular: What is loop unrolling? How you can speed up Mojo🔥 code with @unroll
Speed up Mojo🔥 code by understanding and implementing loop unrolling.