LT-Accelerate 2016: Between Custom and Off-the-shelf NLP
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This presentation explores the changing landscape of NLP software solutions and their application to the popular task of sentiment classification.
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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
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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).
Removing Uninteresting Bytes in Software Fuzzing
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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。
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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Programming Foundation Models with DSPy - Meetup Slides
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Communications Mining Series - Zero to Hero - Session 1
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Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
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Pushing the limits of ePRTC: 100ns holdover for 100 days
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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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LT-Accelerate 2016: Between Custom and Off-the-shelf NLP
- 1. Between Custom and Off-the-shelf NLP Yves Peirsman
- 2. NLP LANDSCAPE Cloud APIs: train your own models + Libraries: pre-trained models Cloud APIs: pre-trained models Libraries: train your own models 2
- 3. SENTIMENT ANALYSIS “The process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc., is positive, negative, or neutral.” 3
- 7. OVERVIEW Off-the-shelf NLP DIY NLP Conclusions 7
- 8. NLP LANDSCAPE Cloud APIs: train your own models + Libraries: pre-trained models Cloud APIs: pre-trained models Libraries: train your own models 8
- 9. DATA SETS Domain Source Categories Baseline Movie reviews rottentomatoes.com positive, negative 50.0% Baby products Amazon positive (****, *****), negative (*, **) 81.5% Android apps Amazon positive (****, *****), negative (*, **) 72.7% Android apps Amazon, Wikipedia positive (****, *****), negative (*, **), neutral 51.7% Hotels, restaurants Yelp positive (****, *****), negative (*, **) 70.8% 9
- 10. DATA SETS: EXAMPLES Positive If you're looking for something scary, this is the first great horror film of the spooky season. Neutral Avernum is a series of demoware role-playing video games by Jeff Vogel of Spiderweb Software available for Macintosh and Windows-based computers. Several are available for iPad and Android tablet. Negative It's Starbucks only with bad customer service. Baristas with attitude that don't know their own product. If I'm paying $7.00 for a coffee at least drop the 'tude. 10
- 11. OFF-THE-SHELF NLP Is it OK to be lazy? 11 1.
- 13. OFF-THE-SHELF MODELS: MOVIE REVIEWS 13 Indico 76.8% IBM AlchemyAPI 73.4% Stanford CoreNLP 71.9%
- 14. OFF-THE-SHELF MODELS: BABY PRODUCTS 14 Indico 92.6% MonkeyLearn (Product) 87.5% TextBlob Pattern 82.5%
- 15. OFF-THE-SHELF MODELS: YELP REVIEWS 15 Indico 92.9% Google 91.0% IBM AlchemyAPI 90.4%
- 16. OFF-THE-SHELF MODELS: ANDROID APPS (2-WAY) 16 Indico 90.6% Google 90.5% MonkeyLearn (Product) 87.1%
- 17. OFF-THE-SHELF MODELS: ANDROID APPS (3-WAY) 17 Indico 80.0% HavenOnDemand 79.1% Google 77.8%
- 18. OFF-THE-SHELF MODELS: CONCLUSIONS There is enormous variation between and within off-the-shelf solutions. High quality is possible, but not guaranteed. Comparing available solutions on your data is crucial. 18
- 19. DIY MODELS Are you better off building your own custom models? 19 2.
- 20. DIY MODELS: PROCESS 20 Data Library Model
- 21. DIY MODELS: PROCESS 21
- 22. DIY MODELS: BABY PRODUCTS 22 DIY SVM 93.4% Best off-the-shelf 92.6% DIY Naive Bayes 86.3%
- 23. DIY MODELS: ANDROID APPS 23 DIY SVM 93.1% Best off-the-shelf 90.6% DIY Naive Bayes 90.3%
- 24. DIY MODELS: YELP REVIEWS 24 DIY SVM 95.6% Best off-the-shelf 92.9% DIY Naive Bayes 89.2%
- 25. DIY MODELS: BABY PRODUCTS 25
- 26. DIY MODELS: ANDROID APPS 26
- 27. DIY MODELS: CONCLUSIONS You need sufficient relevant data to build a good model. DIY models built with sufficient data will typically outperform off-the-shelf solutions. DIY models may or may not be worth the effort. 27
- 29. CONCLUSIONS Off-the-shelf no data little effort good quality possible, but not guaranteed no control DIY lots of data more effort superior quality full control 29
- 30. BUT SOME ARE 30 WRONG ALL MODELS ARE USEFUL - George Box
- 31. 31
- 32. Any questions? You can find me at: » @yvespeirsman » yves@nlp.town 32THANKS!