DevOps & Python

Kürzlich hochgeladen

10 Essential Software Testing Tools You Need to Know About.pdf

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Junchen Jiang (Assistant Professor of Computer Science, @University of Chicago) Prefill in LLM inference is known to be resource-intensive, especially for long LLM inputs. While better scheduling can mitigate prefill’s impact, it would be fundamentally better to avoid (most of) prefill. This talk introduces our preliminary effort towards drastically minimizing prefill delay for LLM inputs that naturally reuse text chunks, such as in retrieval-augmented generation. While keeping the KV cache of all text chunks in memory is difficult, we show that it is possible to store them on cheaper yet slower storage. By improving the loading process of the reused KV caches, we can still significantly speed up prefill delay while maintaining the same generation quality.

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

Alluxio, Inc.

The Impact of PLM Software on Fashion Production

Wave PLM

CompTIA Security+ (Study Notes) for cs.pdf

Furqanuddin10

IT Software Development Resume, Vaibhav jha 2024

vaibhav130304

"Introduction to Windows 7" serves as the foundational chapter in our guide, setting the stage for understanding the key features and functionalities of this operating system. Windows 7, released by Microsoft in 2009, quickly became one of the most popular and widely used versions of Windows due to its user-friendly interface, stability, and performance improvements over its predecessor, Windows Vista. This chapter begins by providing an overview of the Windows 7 operating system, highlighting its key attributes and improvements compared to earlier versions of Windows. It introduces users to the visual enhancements such as Aero Glass, the revamped taskbar (also known as the Superbar), and the redesigned Start menu, which all contribute to a more intuitive and streamlined user experience. Furthermore, "Introduction to Windows 7" delves into the architecture and system requirements of the operating system, helping users understand what hardware specifications are necessary for optimal performance. It covers topics such as processor requirements, RAM, disk space, and graphics capabilities, ensuring that readers have a clear 3 understanding of the hardware prerequisites for running Windows 7 smoothly. Additionally, this chapter explores the various editions of Windows 7, including Home Premium, Professional, Ultimate, and Enterprise, outlining the differences between them and helping users choose the edition that best suits their needs and requirements. Moreover, "Introduction to Windows 7" provides an overview of the installation process, guiding users through the steps required to install or upgrade to Windows 7 on their computers. It covers topics such as preparing for installation, choosing the installation type (upgrade or custom), partitioning disks, and configuring initial settings. In summary, "Introduction to Windows 7" serves as a comprehensive primer for users who are new to the operating system or seeking to refresh their understanding. By familiarizing themselves with the core concepts and features of Windows 7, readers can lay a solid foundation for exploring more advanced topics covered in subsequent chapters of this guide.

Mastering Windows 7 A Comprehensive Guide for Power Users .pdf

mbmh111980

Agnieszka Andrzejewska - BIM School Course in Kraków

bim.edu.pl

COMPUTER AND ITS COMPONENTS PPT.by naitik sharma Class 9th A mittal internati...

naitiksharma1124

How to install and activate eGrabber JobGrabber

eGrabber

How to pick right visual testing tool.pdf

Testgrid.io

This is a classic migration case study (the past, current and the future) at scale from a world-wide company transitioning from Confluent Platform and Confluent Cloud to self-managed Apache Kafka on Kubernetes using Strimzi. At Maersk, we have been architecting, designing and implementing our 3rd generation Event Streaming Platform. This platform is based on Kubernetes in Azure and using Strimzi to operate Apache Kafka at large scale, highly reliable, segregating data based on isolated use cases. Our 2nd generation was based on OnPrem Confluent Platform and Confluent Cloud and this presentation is the story of this migration and reasoning behind it. Furthermore, we would get into details on how we monitor (Grafana, Prometheus), alert (GoAlert and alert as code), operate and provide self-service solutions on top of Strimzi to enable business critical application in Maersk, implemented in GoLang using the GitOps deployment model with Flux and Kustomization among others. Finally, if time allows we will end with a demo of an open-source self service tool to monitor and explore the cluster with most wanted features such as topic message browsing and configuring and restarting connectors.

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi.pdf

steffenkarlsson2

AI/ML Infra Meetup | Perspective on Deep Learning Framework

Alluxio, Inc.

Workforce Efficiency with Employee Time Tracking Software.pdf

DeskTrack

SQL Injection Introduction and Prevention

Mohammed Fazuluddin

Scenarios are the central artifact of the Behaviour Driven Development (BDD) process. Although many teams use scenarios and tools like Cucumber or SpecFlow to automate them, in many cases their scenarios contain a lot of details, particularly test data, and therefore they become too complicated to support collaboration with the business. The "essential" principle of scenario writing (scenario formulation) states that only those details should be included in the scenario that are relevant for the outcome. This talk provides help for those who struggle implementing this principle or would be interested to learn how you can create brief and maintainable scenarios.

Tree in the Forest - Managing Details in BDD Scenarios (live2test 2024)

Gáspár Nagy

Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...

rajkumar669520

Migrating your customer service data from Zendesk to Re:amaze can significantly enhance your support operations, but it requires careful planning and execution. "A Guideline to Zendesk to Re:amaze Data Migration" is designed to assist businesses in managing this transition smoothly and efficiently. This comprehensive guide covers all aspects of the data migration process, ensuring that your data is transferred accurately and effectively.

A Guideline to Zendesk to Re:amaze Data Migration

Help Desk Migration

What need to be mastered as AI-Powered Java Developers

EmilyJiang23

Top Mobile App Development Companies 2024

XongoLab Technologies LLP

Secure Software Ecosystem Teqnation 2024

Soroosh Khodami

Kürzlich hochgeladen (20)

10 Essential Software Testing Tools You Need to Know About.pdf

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

The Impact of PLM Software on Fashion Production

CompTIA Security+ (Study Notes) for cs.pdf

IT Software Development Resume, Vaibhav jha 2024

Mastering Windows 7 A Comprehensive Guide for Power Users .pdf

Agnieszka Andrzejewska - BIM School Course in Kraków

COMPUTER AND ITS COMPONENTS PPT.by naitik sharma Class 9th A mittal internati...

How to install and activate eGrabber JobGrabber

How to pick right visual testing tool.pdf

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi.pdf

AI/ML Infra Meetup | Perspective on Deep Learning Framework

Workforce Efficiency with Employee Time Tracking Software.pdf

SQL Injection Introduction and Prevention

Tree in the Forest - Managing Details in BDD Scenarios (live2test 2024)

Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...

A Guideline to Zendesk to Re:amaze Data Migration

What need to be mastered as AI-Powered Java Developers

Top Mobile App Development Companies 2024

Secure Software Ecosystem Teqnation 2024

DevOps & Python

Empfohlen

Empfohlen

Weitere ähnliche Inhalte

Kürzlich hochgeladen

Kürzlich hochgeladen (20)

Empfohlen

Empfohlen (20)

DevOps & Python