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This document discusses a portable scan tool product being developed by AvtoHels Ltd. It introduces the team working on the project, which includes an economist, engineer, and IT specialist. It analyzes the potential market of 5 million vehicles in Russia since 2005 as the target market. The key competitive advantages of the product are its low price, GLONASS antenna integration, and ability to detect vehicle issues anytime. The business model projects earning 1.5 billion rubles annually within 7 years by gaining a 20% market share with a 300 ruble monthly subscription fee. It acknowledges risks both from external political/economic factors and internal production issues. Contact information is provided for the team at the end.
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By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
How to Get CNIC Information System with Paksim Ga.pptx
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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Essentials of Automations: The Art of Triggers and Actions in FME
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Securing your Kubernetes cluster_ a step-by-step guide to success !
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ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
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BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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Mind map of terminologies used in context of Generative AI
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UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Video Streaming: Then, Now, and in the Future
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Moscow
- 1. 01 Ltd. "AvtoHels" report on the subject: portable scan tool
- 2. 02
- 3. 03 TEAM Chupanov E.A. Qualification economist, acting entrepreneur, provides services in the areas of accounting, has experience in the output market, a startup!
- 4. Sharapov R.N. Qualification Engineer, 8 years of practice in the field of public speaking, certified TRIZ specialist. Dmitry V.V. One skilled in the field of IT, as well as a specialist in the field of information security.
- 5. Our potential clients: 04 MARKET - On January 1, 2012 in the Russian Federation registered 35 million vehicles - Of these, 16 million foreign cars - According to the "Autostat" 30% from 2005 - Car owners with the 2003 release
- 6. our market - it 5 million vehicles
- 8. -- Our device is many times cheaper - Ability to implement GLONASS antenna - Auto scanner can detect tilt, rotate, overturn cars, quite a heavy blow - Full automation control - Diagnostics at any time of the day - The client is aware of the problem of auto mechanic knows how many Competitive advantage
- 10. Key figures of the budget: 07 The subscription fee for the service 300 rubles / month According to the Federal State Statistics Service: 5 million vehicles since 2005 Release
- 11. Over 7 years of planning to take a 20% market share it is 3.5 billion / year Projected profit 1.5 billion / year
- 12. risk Factors 08 exterior: - Political - Science and technology - Socio-economic Inside: - In the area of - Production
- 13. 9 WHAT WE NEED?
- 14. Thank you for your attention! 10 Contacts: Radik tel. 295-17-17 e-mail: prox86@list.ru Eugene tel. 230-36-18 e-mail: 100-500-09@mail.ru