About Fearless Refactoring Book

•

1 like•581 views

This document discusses refactoring code and provides tips for doing so efficiently. It mentions removing duplicated code using the repository pattern and validation rules as objects. Fast and isolated tests are recommended, and the ability to easily change the data store from SQL to NoSQL. Overall opinions on refactoring and a discount coupon code are requested.

Fearless refactoring
by Denys Medynskyi

Why I love this book ?

A lot of code

Step-by-step algorithms
how to solve problem

Routing constraints

Algorithm

Algorithm

Remove duplicated code
from actions

Repository pattern

Repository pattern

How fast are your tests ?

Do they rely on database ?

How easily you can switch
from SQL to NoSQL or
YAML store ?

Does your application
depends on ORM
implemenation ?

Validations

Validations: Contexts

Validations

Validations: Objectify

Validations: Objectify

Rule as an object

Rule as an object

http://rails-refactoring.com/

30% off coupon

JAVA_SUCKS_RUBY_ROCKS
fake

PIVORAK_FRIENDS

34.30$ 49$

What’s your opinion ?

More Related Content

What's hot

We try to "move fast and break things", but that's really possible only when you know what you break. This talk is split into two parts: introduction to why we write tests and a practical demo writing code, for both new codebase and already existing untestable codebase. During the talk, I'll share multiple strategies with you that will help you cover your untestable code. After this talk you will be able to start with testing and you will know how to use and mock dependencies to cover any codebase with unit tests.

Writing testable code

Writing testable code

Writing testable code

Martin Hlaváč

Slow tests in a fast delivery pipeline

Slow tests in a fast delivery pipeline

Slow tests in a fast delivery pipeline

Functional tests are usually the slowest layer of automated tests for almost every product. They use product via UI, store data in real DB, integrate with external services and do other “slow” things. The first easy answer how to make them fast is to run in parallel. But in reality tests depends on the same data and intersect by some common functionality. In this talk we will review useful techniques and approaches how to win this battle.

How to make your functional tests really quick

How to make your functional tests really quick

How to make your functional tests really quick

Mikalai Alimenkou

Mal ganz ehrlich: Testen im Frontend hat noch nie viel Spaß gemacht. In meinem Talk möchte ich mit Jest eine Testbibliothek vorstellen, die genau das ändern kann. Jest lässt sich ohne viel Konfiguration direkt einsetzen und bringt alles mit, was man von einer Testbibliothek erwartet (und noch mehr). An vielen praktischen Beispielen möchte ich meine Lieblingsfeatures wie Snapshot-Tests, Mocking oder das tolle CLI erläutern und zeigen, dass Testen im Frontend durchaus Spaß machen kann. Eine Ausrede weniger, um auf das Testen im Frontend zu verzichten! Vorkenntnisse: Grundlegende JavaScript-Kenntnisse. Lernziele: Die Teilnehmer sollen einen Überblick über die Funktionsweise und die Einsatzbereiche von Jest bekommen. Sie lernen, wie sie für Tests in Frontend-Projekten mit Jest im Werkzeugkoffer gut gerüstet sind.

Jest: Frontend Testing leicht gemacht @EnterJS2018

Jest: Frontend Testing leicht gemacht @EnterJS2018

Jest: Frontend Testing leicht gemacht @EnterJS2018

Holger Grosse-Plankermann

Resource Leaks in Java

Resource Leaks in Java

Resource Leaks in Java

Fast end-to-end-tests

Fast end-to-end-tests

Fast end-to-end-tests

Rikke Veng Petersen

Almost every Java developer knows ORM concepts and Hibernate as the most popular solution in Java world in this area. But it is big surprise that very small percent of Java developers (even experienced ones) can answer very simple questions about how Hibernate really do all this “magic”. In this live coding session we will go through many practical samples and finally show truth to the Java community. ;) P.S. After this talk you could pass through any Senior Developer interview easily. Code samples can be found here: https://github.com/xpinjection/hibernate-basics .

Hibernate, how the magic is really done

Hibernate, how the magic is really done

Hibernate, how the magic is really done

Mikalai Alimenkou

Type mock isolator

Type mock isolator

Type mock isolator

Staying Ahead of the Curve

Staying Ahead of the Curve

Staying Ahead of the Curve

What's hot (9)

Writing testable code

Writing testable code

Writing testable code

Slow tests in a fast delivery pipeline

Slow tests in a fast delivery pipeline

Slow tests in a fast delivery pipeline

How to make your functional tests really quick

How to make your functional tests really quick

How to make your functional tests really quick

Jest: Frontend Testing leicht gemacht @EnterJS2018

Jest: Frontend Testing leicht gemacht @EnterJS2018

Jest: Frontend Testing leicht gemacht @EnterJS2018

Resource Leaks in Java

Resource Leaks in Java

Resource Leaks in Java

Fast end-to-end-tests

Fast end-to-end-tests

Fast end-to-end-tests

Hibernate, how the magic is really done

Hibernate, how the magic is really done

Hibernate, how the magic is really done

Type mock isolator

Type mock isolator

Type mock isolator

Staying Ahead of the Curve

Staying Ahead of the Curve

Staying Ahead of the Curve

More from Pivorak MeetUp

Lisp(Lots of Irritating Superfluous Parentheses)

Lisp(Lots of Irritating Superfluous Parentheses)

Lisp(Lots of Irritating Superfluous Parentheses)

Some strange stories about mocks.

Some strange stories about mocks.

Some strange stories about mocks.

Business-friendly library for inter-service communication

Business-friendly library for inter-service communication

Business-friendly library for inter-service communication

How i was a team leader once

How i was a team leader once

How i was a team leader once

Rails MVC by Sergiy Koshovyi

Rails MVC by Sergiy Koshovyi

Rails MVC by Sergiy Koshovyi

Introduction to Rails by Evgeniy Hinyuk

Introduction to Rails by Evgeniy Hinyuk

Introduction to Rails by Evgeniy Hinyuk

Ruby OOP (in Ukrainian)

Ruby OOP (in Ukrainian)

Ruby OOP (in Ukrainian)

Testing in Ruby

Testing in Ruby

Testing in Ruby

Ruby Summer Course by #pivorak & OnApp - OOP Basics in Ruby

Ruby Summer Course by #pivorak & OnApp - OOP Basics in Ruby

Ruby Summer Course by #pivorak & OnApp - OOP Basics in Ruby

When you split your application into multiple module how do you make them talk to each other? How do you make them react to changes happening in other parts of the system? How do you make them tell each other that something needs to be done? When should it happen? We will have a look what we can squeeze out of domain events being published in various parts of our application and how we can use them to orchestrate a bigger business process.

The Saga Pattern: 2 years later by Robert Pankowecki

The Saga Pattern: 2 years later by Robert Pankowecki

The Saga Pattern: 2 years later by Robert Pankowecki

Data and Bounded Contexts by Volodymyr Byno

Data and Bounded Contexts by Volodymyr Byno

Data and Bounded Contexts by Volodymyr Byno

More about his talk : "You've most likely already heard something about remote work. While the concept is not that old, it's a trend that many well-known brands are implementing. In this presentation, you'll learn the essentials and seldom thought of pitfalls about remote work. These are based on the speaker's experience working remotely for more than two years. Many of these lessons were gained while working at Toptal, a company whose whole business model is built around remote work."

Successful Remote Development by Alex Rozumii

Successful Remote Development by Alex Rozumii

Successful Remote Development by Alex Rozumii

Eugene Pirogov talks about “Origins of Elixir” during #pivorak Lviv Ruby MeetUp 2016 Details: “For the past 6 years I've been programming in Ruby. Began shifting from Ruby to Elixir during a sabbatical. Started doing programming exercises in Elixir as well as contributing to Elixir language and variety of small libraries in the ecosystem. I'm a strong believer that Elixir, being backed by immensely powerful, robust and battle-tested Erlang VM will take over the world of web development.” - that’s what Eugene says.

Origins of Elixir programming language

Origins of Elixir programming language

Origins of Elixir programming language

Functional Immutable CSS

Functional Immutable CSS

Functional Immutable CSS

The talk is about Flow-Based programming (FBP) using Flowex library built on top of Elixir GenStage feature. You will find out about Flowex Railway-FBP design approach, about its abstractions, and the way to easily create pipelines of independent components. Our speaker Anton also demonstrates how one can use Ruby, Python, and, in general, any other programming language inside Flowex pipes and therefore create reusable components with language-specific functionality. About the speaker: Anton Mishchuk is an experienced Ruby developer with more than 6 years in business). Now he’s working with Matic Insurance. For the last 3 years his main addiction has been Elixir: “I’m happy with actors model of concurrency and functional programming. I have a couple of open-source projects written in Elixir - BDD testing library - ESpec and Flowex.” Watch video of Anton's talk given at #pivorak here - https://www.youtube.com/watch?v=RY9THv-yosI

Multi language FBP with Flowex by Anton Mishchuk

Multi language FBP with Flowex by Anton Mishchuk

Multi language FBP with Flowex by Anton Mishchuk

Detective story of one clever user - Lightning Talk By Sergiy Kukunin

Detective story of one clever user - Lightning Talk By Sergiy Kukunin

Detective story of one clever user - Lightning Talk By Sergiy Kukunin

Olexii, what’s your topic exactly about? This is about CryptoParty: decentralized movement with the goal to pass on knowledge about protecting yourself in the digital space. I will try to give general overview on what CryptoParty is, why would anyone care about privacy on the internet and what is common topics covered during CryptoParty. For whom will it be a useful topic? Anyone, actually anyone, no technical background is required. About Olexii: "I’m a programmer. I write code. Mostly I’m involved in Linux system programming. I like to think that I’m quite good in C++. Currently, privacy and anonymity on the internet is one of the topics on which I spend my spare time." Olexii introduced some of us to CryptoParty last Summer (the first time in Ukraine, woah!), but it’s time to share the ideas with the wider audience.

CryptoParty: Introduction by Olexii Markovets

CryptoParty: Introduction by Olexii Markovets

CryptoParty: Introduction by Olexii Markovets

This time Marek won’t be talking about what’s wrong with frameworks, because you can read it in his blog - http://bit.ly/2jSN0z4. But about progressing career - strategy, negotiations, self development. And it will be his own story. It should be interesting for anyone who cares about career/money - not only Ruby Devs. Marek is from Poland, but now he works as a contractor in Rome for International Fund for Agricultural Development (IFAD) - which is United Nations agency. I’m using Rails of course :)” - he says. Marek was our Lightning Talker last April about anti-frameworks. Please, check out his talk here emoji unicode: 1f3a5emoji unicode: 1f449 https://youtu.be/QsAArlQnktI

How to make first million by 30 (or not, but tryin') - by Marek Piasecki

How to make first million by 30 (or not, but tryin') - by Marek Piasecki

How to make first million by 30 (or not, but tryin') - by Marek Piasecki

Oleksandr gives a Lightning talk about GIS integration: Storing and displaying geospatial data using OpenGeo Suite. I would tell about: - GIS itself; - open source software called OpenGeo Suite; - Geo spatial data representation in Geoserver (shapefiles and postgresql databases with postgis extension); - Scalable data import using rest api. Finally i would present the way to serve stored data using Open Layers. This topic might be useful for Ruby Devs, GIS enthusiasts that are looking for free and powerful tools and other Backend devs.

GIS on Rails by Oleksandr Kychun

GIS on Rails by Oleksandr Kychun

GIS on Rails by Oleksandr Kychun

In this presentation Tomek Kalinowski introduces the Audience to the idea of “Library Operating System” and its modern extension - The Unikernel. In short unikernel is another way of packaging and deploying code in which everything, including operating system, is tailored to serve your code’s single purpose (like displaying random cat pictures). We'll try to answer the questions: - Why and when it can be useful? - Is this reusable? Interoperable? - How we can leverage virtualization? And last, but not least, is this the answer for inevitable coming of our Lord and Savior FPGA?

Unikernels - Keep It Simple to the Bare Metal

Unikernels - Keep It Simple to the Bare Metal

Unikernels - Keep It Simple to the Bare Metal

More from Pivorak MeetUp (20)

Lisp(Lots of Irritating Superfluous Parentheses)

Lisp(Lots of Irritating Superfluous Parentheses)

Lisp(Lots of Irritating Superfluous Parentheses)

Some strange stories about mocks.

Some strange stories about mocks.

Some strange stories about mocks.

Business-friendly library for inter-service communication

Business-friendly library for inter-service communication

Business-friendly library for inter-service communication

How i was a team leader once

How i was a team leader once

How i was a team leader once

Rails MVC by Sergiy Koshovyi

Rails MVC by Sergiy Koshovyi

Rails MVC by Sergiy Koshovyi

Introduction to Rails by Evgeniy Hinyuk

Introduction to Rails by Evgeniy Hinyuk

Introduction to Rails by Evgeniy Hinyuk

Ruby OOP (in Ukrainian)

Ruby OOP (in Ukrainian)

Ruby OOP (in Ukrainian)

Testing in Ruby

Testing in Ruby

Testing in Ruby

Ruby Summer Course by #pivorak & OnApp - OOP Basics in Ruby

Ruby Summer Course by #pivorak & OnApp - OOP Basics in Ruby

Ruby Summer Course by #pivorak & OnApp - OOP Basics in Ruby

The Saga Pattern: 2 years later by Robert Pankowecki

The Saga Pattern: 2 years later by Robert Pankowecki

The Saga Pattern: 2 years later by Robert Pankowecki

Data and Bounded Contexts by Volodymyr Byno

Data and Bounded Contexts by Volodymyr Byno

Data and Bounded Contexts by Volodymyr Byno

Successful Remote Development by Alex Rozumii

Successful Remote Development by Alex Rozumii

Successful Remote Development by Alex Rozumii

Origins of Elixir programming language

Origins of Elixir programming language

Origins of Elixir programming language

Functional Immutable CSS

Functional Immutable CSS

Functional Immutable CSS

Multi language FBP with Flowex by Anton Mishchuk

Multi language FBP with Flowex by Anton Mishchuk

Multi language FBP with Flowex by Anton Mishchuk

Detective story of one clever user - Lightning Talk By Sergiy Kukunin

Detective story of one clever user - Lightning Talk By Sergiy Kukunin

Detective story of one clever user - Lightning Talk By Sergiy Kukunin

CryptoParty: Introduction by Olexii Markovets

CryptoParty: Introduction by Olexii Markovets

CryptoParty: Introduction by Olexii Markovets

How to make first million by 30 (or not, but tryin') - by Marek Piasecki

How to make first million by 30 (or not, but tryin') - by Marek Piasecki

How to make first million by 30 (or not, but tryin') - by Marek Piasecki

GIS on Rails by Oleksandr Kychun

GIS on Rails by Oleksandr Kychun

GIS on Rails by Oleksandr Kychun

Unikernels - Keep It Simple to the Bare Metal

Unikernels - Keep It Simple to the Bare Metal

Unikernels - Keep It Simple to the Bare Metal

Recently uploaded

The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.

Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...

Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...

Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...

The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.

Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...

Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...

Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Abortion Clinic

Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have. For more Tendenci AMS events, check out www.tendenci.com/events

Corporate Management | Session 3 of 3 | Tendenci AMS

Corporate Management | Session 3 of 3 | Tendenci AMS

Corporate Management | Session 3 of 3 | Tendenci AMS

Tendenci - The Open Source AMS (Association Management Software)

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Lu Qiu (Data & AI Platform Tech Lead, @Alluxio) - Siyuan Sheng (Senior Software Engineer, @Alluxio) Speed and efficiency are two requirements for the underlying infrastructure for machine learning model development. Data access can bottleneck end-to-end machine learning pipelines as training data volume grows and when large model files are more commonly used for serving. For instance, data loading can constitute nearly 80% of the total model training time, resulting in less than 30% GPU utilization. Also, loading large model files for deployment to production can be slow because of slow network or storage read operations. These challenges are prevalent when using popular frameworks like PyTorch, Ray, or HuggingFace, paired with cloud object storage solutions like S3 or GCS, or downloading models from the HuggingFace model hub. In this presentation, Lu and Siyuan will offer comprehensive insights into improving speed and GPU utilization for model training and serving. You will learn: - The data loading challenges hindering GPU utilization - The reference architecture for running PyTorch and Ray jobs while reading data from S3, with benchmark results of training ResNet50 and BERT - Real-world examples of boosting model performance and GPU utilization through optimized data access

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Globus Connect Server Deep Dive - GlobusWorld 2024

Globus Connect Server Deep Dive - GlobusWorld 2024

Globus Connect Server Deep Dive - GlobusWorld 2024

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

BoxLang: Review our Visionary Licenses of 2024

BoxLang: Review our Visionary Licenses of 2024

BoxLang: Review our Visionary Licenses of 2024

Ortus Solutions, Corp

Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.

How Recreation Management Software Can Streamline Your Operations.pptx

How Recreation Management Software Can Streamline Your Operations.pptx

How Recreation Management Software Can Streamline Your Operations.pptx

GlobusWorld 2024 Opening Keynote session

GlobusWorld 2024 Opening Keynote session

GlobusWorld 2024 Opening Keynote session

Breaking the Code : A Guide to WhatsApp Business API.pdf

Breaking the Code : A Guide to WhatsApp Business API.pdf

Breaking the Code : A Guide to WhatsApp Business API.pdf

Meon Technology

De mooiste recreatieve routes ontdekken met RouteYou en FME

De mooiste recreatieve routes ontdekken met RouteYou en FME

De mooiste recreatieve routes ontdekken met RouteYou en FME

Jelle | Nordend

Large Language Models and the End of Programming

Large Language Models and the End of Programming

Large Language Models and the End of Programming

As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.

Globus Compute wth IRI Workflows - GlobusWorld 2024

Globus Compute wth IRI Workflows - GlobusWorld 2024

Globus Compute wth IRI Workflows - GlobusWorld 2024

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

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

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

Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?

Understanding Globus Data Transfers with NetSage

Understanding Globus Data Transfers with NetSage

Understanding Globus Data Transfers with NetSage

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

AI/ML Infra Meetup | ML explainability in Michelangelo

AI/ML Infra Meetup | ML explainability in Michelangelo

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

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

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

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

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

Recently uploaded (20)

Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...

Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...

Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...

Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...

Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...

Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Corporate Management | Session 3 of 3 | Tendenci AMS

Corporate Management | Session 3 of 3 | Tendenci AMS

Corporate Management | Session 3 of 3 | Tendenci AMS

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Globus Connect Server Deep Dive - GlobusWorld 2024

Globus Connect Server Deep Dive - GlobusWorld 2024

Globus Connect Server Deep Dive - GlobusWorld 2024

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

BoxLang: Review our Visionary Licenses of 2024

BoxLang: Review our Visionary Licenses of 2024

BoxLang: Review our Visionary Licenses of 2024

How Recreation Management Software Can Streamline Your Operations.pptx

How Recreation Management Software Can Streamline Your Operations.pptx

How Recreation Management Software Can Streamline Your Operations.pptx

GlobusWorld 2024 Opening Keynote session

GlobusWorld 2024 Opening Keynote session

GlobusWorld 2024 Opening Keynote session

Breaking the Code : A Guide to WhatsApp Business API.pdf

Breaking the Code : A Guide to WhatsApp Business API.pdf

Breaking the Code : A Guide to WhatsApp Business API.pdf

De mooiste recreatieve routes ontdekken met RouteYou en FME

De mooiste recreatieve routes ontdekken met RouteYou en FME

De mooiste recreatieve routes ontdekken met RouteYou en FME

Large Language Models and the End of Programming

Large Language Models and the End of Programming

Large Language Models and the End of Programming

Globus Compute wth IRI Workflows - GlobusWorld 2024

Globus Compute wth IRI Workflows - GlobusWorld 2024

Globus Compute wth IRI Workflows - GlobusWorld 2024

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

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

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

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

Understanding Globus Data Transfers with NetSage

Understanding Globus Data Transfers with NetSage

Understanding Globus Data Transfers with NetSage

AI/ML Infra Meetup | ML explainability in Michelangelo

AI/ML Infra Meetup | ML explainability in Michelangelo

AI/ML Infra Meetup | ML explainability in Michelangelo

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

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

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

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

About Fearless Refactoring Book

1. Fearless refactoring by Denys Medynskyi

2.

3.

4.

5. Why I love this book ?

6. A lot of code

7.

8. Step-by-step algorithms how to solve problem

9. Routing constraints

12.

13.

14.

15.

16. Remove duplicated code from actions

17. Repository pattern

18. Repository pattern

19.

20. How fast are your tests ?

21. Do they rely on database ?

22.

23. How easily you can switch from SQL to NoSQL or YAML store ?

24. Does your application depends on ORM implemenation ?

25.

26. Validations

27. Validations: Contexts

28. Validations

29.

30.

31.

32. Validations: Objectify

33. Validations: Objectify

34.

35. Rule as an object

36. Rule as an object

37. http://rails-refactoring.com/

38. 30% off coupon

39. JAVA_SUCKS_RUBY_ROCKS fake

40. PIVORAK_FRIENDS

42. What’s your opinion ?