Articles for category: AI Tools

Seemingly Paradoxical Rules of Writing

Having written close to 200 pieces on this site, and dozens of docs on the job, I’ve come to realize that, with regard to writing, there are many rules and also no rules at all. • • • use simple words to be clear and concise use complex words to be sharp and precise write short sentences for the punch write long sentences to convey nuance invest 80% effort into an intro that hooks skip the intro, just get into the nooks write for a wide audience to maximize reach write for an audience of one, dive into a niche

Developers, burnout is real! 🚀 Tight deadlines, endless context switching & unclear tasks can drain your energy. But with the right project management, you can stay productive & stress-free. Check out how Teamcamp helps streamline workflows!

Pratham naik Follow Project Manager | Passionate about Agile, collaboration, and building efficient workflows | Helping teams streamline project management with the right tools & strategies | Explore more with Teamcamp Location india Education Bachelor’s Degree in Project Management Work Project Manager at Teamcamp Joined Jan 7, 2025 Source link

Part 3: A Survey of Analytics Engineering Work at Netflix | by Netflix Technology Blog

This article is the last in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1, which detailed how we’re empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company and Part 2, which stepped through a few exciting business applications for Analytics Engineering. This post will go into aspects of technical craft. Rina Chang, Susie Lu What is design, and why does it matter? Often people think design is about how things

Data Lake vs. Data Warehouse vs. Database: Key Differences Explained – BMC Software

Data storage is a big deal. Data companies are in the news a lot lately, especially as companies attempt to maximize value from big data’s potential. For the lay person, data storage is usually handled in a traditional database. But for big data, companies use data warehouses and data lakes. Data lakes are often compared to data warehouses—but they shouldn’t be. Data lakes and data warehouses are very different, from the structure and processing all the way to who uses them and why. In this article, we’ll: Defining database, data warehouse, and data lake Let’s start with the concepts, and

Quickstart to Lightning Fabric – Lightning AI

Takeaways Readers will learn how to convert and scale PyTorch models and training loops with Lightning Fabric. Introduction Some engineers may prefer the greatest amount of control as possible over their PyTorch training loop. Yet, those same engineers also know the benefits of a lightweight, production ready framework that handles the heavy lifting when it comes to SOTA distributed training features. The Power of Lightning Fabric Lightning Fabric does this heavy lifting by enabling researchers and machine learning engineers to train PyTorch models at scale – and with minimal code changes. In as few as five lines, Lightning Fabric orchestrates

Introduction to State Space Models as Natural Language Models

State Space Models (SSMs) use first-order differential equations to represent dynamic systems. The HiPPO framework provides a mathematical foundation for maintaining continuous representations of time-dependent data, enabling efficient approximation of long-range dependencies in sequence modeling. Discretization of continuous-time SSMs lays the groundwork for processing natural language and modeling long-range dependencies in a computationally efficient way. LSSL, S4, and S5 are increasingly sophisticated and efficient sequence-to-sequence state-space models that pave the way for viable SSM-based alternatives to transformer models. While transformer-based models are in the limelight of the NLP community, a quiet revolution in sequence modeling is underway. State Space Models

Announcing General Availability of Lakehouse Federation for Google BigQuery and Public Preview for Teradata and Oracle

We’re excited to announce the General Availability of Lakehouse Federation for Google BigQuery and the Public Preview for Oracle and Teradata. Now, you can connect, discover, govern, and query data from these sources through Unity Catalog—without migration or ETL. This makes data access easier while ensuring an open, interoperable lakehouse architecture. Unify your data and governance across distributed platforms with the Lakehouse Federation Lakehouse Federation enables users to query and analyze data across disparate databases, data warehouses and catalogs without duplicating or transferring data. By integrating external data sources directly into the Unity Catalog, organizations can: Gain a unified view