Month: January 2024

Slow build times and inefficiencies in packaging and distributing execution files were costing our ML/AI engineers a significant amount of time while working on our training stack. By addressing these issues head-on, we were able to reduce this overhead by double-digit percentages.  In the fast-paced world of AI/ML development, it’s crucial to ensure that our… Continue reading Improving machine learning iteration speed with faster application build and packaging

By Krishna Pandey and Scott Nyberg. In our “Engineering Energizers” Q&A series, we examine the professional journeys that have shaped Salesforce Engineering leaders. Meet Krishna Pandey, Director of Security Engineering at Salesforce. Based in Bangalore, India, his Application Security Technology (AST) team powers Salesforce’s source code security program, charged with using AI to detect and… Continue reading The Power of AI: Strengthening Application Security by Eliminating Secrets in Code

At Meta, the quest for faster model training has yielded an exciting milestone: the adoption of Lazy Imports and the Python Cinder runtime. The outcome? Up to 40 percent time to first batch (TTFB) improvements, along with a 20 percent reduction in Jupyter kernel startup times. This advancement facilitates swifter experimentation capabilities and elevates the… Continue reading Lazy is the new fast: How Lazy Imports and Cinder accelerate machine learning at Meta

By Yingbo Zhou and Scott Nyberg In our “Engineering Energizers” Q&A series, we examine the professional life experiences that have shaped Salesforce Engineering leaders. Meet Yingbo Zhou, a Senior Director of Research for Salesforce AI Research, where he leads his team to advance AI — focusing on the fields of natural language processing and software… Continue reading Inside AI Research: Conquering Complex Challenges to Power Next Generation Innovations

What’s going on with generative AI (GenAI) at Meta? And what does the future have in store? In this episode of the Meta Tech Podcast, Meta engineer Pascal Hartig (@passy) speaks with Devi Parikh, an AI research director at Meta. They cover a wide range of topics, including the history and future of GenAI and the most… Continue reading How Meta is advancing GenAI

Written by Viraj Jasani and Andrew Purtell Data is the engine behind Salesforce operations, helping our customers make better decisions on a daily basis. The Big Data Storage (BDS) team, a key part of Salesforce’s engineering organization, deploys arguably one of the largest distributed database production footprints. This infrastructure is based on the combination of… Continue reading Implementing Salesforce’s Largest Database Upgrade: Inside the Migration to HBase 2