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KLARNA - Language Models and Knowledge Graphs: A Systems Approach

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.

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

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In his book, The Nature of the Physical World, Sir Arthur Eddington commented that “We have to appeal to the one outstanding law — the second law of thermodynamics — to put some sense into the world.” This sense-making goes beyond the physical world, too. Entropy is also essential in the fields of information and communication theory. During this lecture for the Princeton Plasma Physics Laboratory, lecturer Andrea Goulet discussed the application of entropy-related concepts in two communication systems: software and collaborative teams. She examined how concepts that help us understand systemic statistical disorder, such as ergodic systems, Lyapunov exponents, Kolmogorov-Sinai entropy, and Shannon-entropy can help us optimize for both software quality and innovation. She also provided several domain-specific models: Lehman’s Laws and Conway’s Law for software, as well as new models from her own research that relate to entropy and innovation. Entropy helps us understand the world and achieve great things. There is an underlying beauty in its principles that we can use to advance scientific discovery. When we understand the subtleties related to balancing surprise and structure, we increase our chances for effective collaboration and finding novel solutions to complex problems.

Entropy, Software Quality, and Innovation (presented at Princeton Plasma Phys...

Andrea Goulet

How to install and activate eGrabber JobGrabber

eGrabber

Migrating your customer service data from Gorgias to Re:amaze can greatly enhance your support operations, but it requires detailed planning and precise execution. "A Guideline to Gorgias to Re:amaze Data Migration" is crafted to help businesses manage this transition smoothly and efficiently. This comprehensive guide ensures that all aspects of the data migration process are covered, from initial planning to post-migration support.

A Guideline to Gorgias to to Re:amaze Data Migration

Help Desk Migration

Workforce Efficiency with Employee Time Tracking Software.pdf

DeskTrack

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Eric Wang (Software Engineer, @Uber) Uber has numerous deep learning models, most of which are highly complex with many layers and a vast number of features. Understanding how these models work is challenging and demands significant resources to experiment with various training algorithms and feature sets. With ML explainability, the ML team aims to bring transparency to these models, helping to clarify their predictions and behavior. This transparency also assists the operations and legal teams in explaining the reasons behind specific prediction outcomes. In this talk, Eric Wang will discuss the methods Uber used for explaining deep learning models and how we integrated these methods into the Uber AI Michelangelo ecosystem to support offline explaining.

AI/ML Infra Meetup | ML explainability in Michelangelo

Alluxio, Inc.

A Python-based approach to data loading in TM1 - Using Airflow as an ETL for TM1

KnowledgeSeed

Top Mobile App Development Companies 2024

XongoLab Technologies LLP

AI/ML Infra Meetup | Perspective on Deep Learning Framework

Alluxio, Inc.

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Abortion Clinic

Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

Tier1 app

"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

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IT Software Development Resume, Vaibhav jha 2024

vaibhav130304

Crafting the Perfect Measurement Sheet with PLM Integration

Wave PLM

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

Advanced Flow Concepts Every Developer Should Know

Peter Caitens

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

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