Category Added in a WPeMatico Campaign
By: Hamid Shahid, Laura Johnson, Tiffany Low Synopsis At Netflix, we have created millions of artwork to represent our titles. Each artwork tells a story about the title it represents. From our testing on promotional assets, we know which of these assets have performed well and which ones haven’t. Through this, our teams have developed an …
The race to innovate has likely left you (and many, many others) with unexpectedly high cloud bills and/or underutilized resources. In fact, according to Flexera’s 2023 State of the Cloud report, for the first time in a decade, “managing cloud spend” (82%) surpassed “security” (79%) to become the number one challenge facing organizations across the board. We …
Read more “Unlock true Kubernetes cost savings without losing precious sleep over performance risks”
Posted by Hussein Hazimeh, Research Scientist, Athena Team, and Riade Benbaki, Graduate Student at MIT Modern neural networks have achieved impressive performance across a variety of applications, such as language, mathematical reasoning, and vision. However, these networks often use large architectures that require lots of computational resources. This can make it impractical to serve such …
Read more “Neural network pruning with combinatorial optimization”
Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker, a fully managed ML service, with requirements to develop features offline in a code …
Recent works on 3D reconstruction from posed images have demonstrated that direct inference of scene-level 3D geometry without iterative optimization is feasible using a deep neural network, showing remarkable promise and high efficiency. However, the reconstructed geometries, typically represented as a 3D truncated signed distance function (TSDF), are often coarse without fine geometric details. To …
Read more “FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction”
By Arthur Gonigberg, Argha C Plaintext Past When Zuul was designed and developed, there was an inherent assumption that connections were effectively free, given we weren’t using mutual TLS (mTLS). It’s built on top of Netty, using event loops for non-blocking execution of requests, one loop per core. To reduce contention among event loops, we created …
You are making a smoothie for your friends to enjoy. Already mixed with assorted fruit and yogurt, your friend Ruchir arrives with a ripe apple and gives it to you to complete your refreshing masterpiece. Now complete, you can almost still smell the hint of apple as the drink is being poured. Before your first …
Read more “Exploring the risks and alternatives of ChatGPT: Paving a path to trustworthy AI”
MLOps is a key discipline that often oversees the path to productionizing machine learning (ML) models. It’s natural to focus on a single model that you want to train and deploy. However, in reality, you’ll likely work with dozens or even hundreds of models, and the process may involve multiple complex steps. Therefore, it’s important …
Replit aims to empower the next billion software creators. In this week’s episode of NVIDIA’s AI Podcast, host Noah Kraviz dives into a conversation with Replit CEO Amjad Masad. Masad says the San Francisco-based maker of a software development platform, which came up as a member of NVIDIA’s Inception program for startups, wants to bridge …
Read more “Replit CEO Amjad Masad on Empowering the Next Billion Software Creators”
How to run LLaMA-13B or OpenChat-8192 on a Single GPU — Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development Recently, numerous open-source large language models (LLMs) have been launched. These powerful models hold great potential for a wide range of applications. However, one major challenge that arises is the limitation of resources when it comes to testing these …