Vocabulary picture book
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This document provides instructions for an extra credit vocabulary picture book assignment. Students can earn up to 25 points by creating a picture book with one page per vocabulary word that includes the word, its lesson, part of speech, pronunciation, definition, derivatives, an original sentence, and a picture. The pages can be handwritten, typed, or in a PowerPoint format. An example page is provided. The assignment is due on April 4, 2012.
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
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.
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Vocabulary picture book
- 1. Vocabulary Picture Book Fifth Six Weeks Extra Credit
- 2. Vocab Picture Book • You have the opportunity this six weeks to earn up to 25 extra points • You will get these points by creating a vocabulary picture book. • Try to contain your excitement. 2 Free powerpoint template: www.brainybetty.com
- 3. Specifics – Must include the following • Word and WHAT LESSON it came from • Part of speech • Pronunciation • Definition • Derivatives • Picture that represents the word • ORIGINAL sentence (not from the book) 3 Free powerpoint template: www.brainybetty.com
- 4. SPECIFICS, Con’t. • Must be written in INK or typed • Pictures may be drawn or computer generated • NO STICK FIGURES • Each page has to include EVERYTHING to receive credit • You get one point per page, up to 25 points 4 Free powerpoint template: www.brainybetty.com
- 5. GREAT NEWS!! • Producing a power point is an acceptable format. • Each word and ALL information should fit on ONE slide • Make the image the BACKGROUND of the slide. • Make sure you choose a font color that can be seen over the picture. 5 Free powerpoint template: www.brainybetty.com
- 6. EXAMPLE • Brigand (brig’ end) – Unit 1 • Noun • A bandit, robber, outlaw, highwayman • It has no derivatives • Brigands were one of the many hazards people faced when travelling in the Wild West. 6 Free powerpoint template: www.brainybetty.com
- 7. Due Date • Wednesday, APRIL 4, 2012 7 Free powerpoint template: www.brainybetty.com