The document discusses how ChatGPT works and its limitations. It notes that ChatGPT: - Is built on top of large language models like GPT-3 and predicts the next token rather than reasoning. - Only sees text as tokens rather than words, sentences, etc. and has no memory or ability to look up facts. - Is limited by its context window size in generating responses. - Does not learn from interactions but can be steered through examples and feedback to provide more accurate responses within its capabilities. Prompt engineering is important to get the most value from ChatGPT.
ChatGPT is a cutting-edge AI chatbot developed by OpenAI using their GPT-3 models. It was trained on vast amounts of internet data like Reddit to understand human conversation. While powerful for language tasks, it has limitations as it can provide incorrect answers depending on the input quality. ChatGPT serves different purposes than Google Search and cannot replace it, but can be used for tasks like content creation, translation, summarization, question answering, and more.
One thing to keep in mind is that ChatGPT, like all language models, is not perfect and may not always produce the desired results. Therefore, there are several things that businesses should consider before using ChatGPT. Here is a detailed explanation of some of the key limitations of ChatGPT. To know all problems of ChatGPT then visit blog post at https://windzoon.com/blog/chatgpt-for-small-businesses/
What is ChatGPT and how can we use it? This is a talk given at Affiliate Summit West -- January 2023 to explain what ChatGPT is and isn't and how we can use it in Search. All images were created using Dall-e.
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
The document appears to be a presentation about ChatGPT and its capabilities. It discusses ChatGPT's uses for writing books, programming, and answering questions. It also covers Microsoft's investments in AI over time, demonstrations of using ChatGPT with Office 365, and the potential impacts of ChatGPT and AI technologies on society.
GPT-4 is the newest version of OpenAI's language model that can understand and generate natural language. It shows improvements over GPT-3.5 in its ability to take visual inputs, be steered more precisely by the user, refuse unsafe requests, and score higher on factual benchmarks. Potential applications of GPT-4 include customer service, translation, content creation, and research. However, its adoption may displace some jobs and raises ethical issues that need addressing through education, job retraining, and responsible development of the technology.
Tech adoption for AI ML has been rapidly growing over the globe and ChatGPT is the game changer. Artificial intelligence and Machine learning are uplifting internet era with swift solutions for users. https://www.9series.com/blog/revolutionary-chatgpt/
This document summarizes a presentation given by Professor Pekka Abrahamsson on how ChatGPT and AI-assisted coding is profoundly changing software engineering. The presentation covers several key points: - ChatGPT and AI tools like Copilot are beginning to be adopted in software engineering to provide code snippets, answers to technical questions, and assist with debugging, but issues around code ownership, reliability, and security need to be addressed. - Early studies show potential benefits of ChatGPT for tasks like software testing education, code quality improvement, and requirements elicitation, but more research is still needed. - Prompt engineering techniques can help maximize the usefulness of ChatGPT for software engineering tasks. Overall, AI
In the US, people are already implementing the use of converstaionl AI, ChatGPT in everydy mundane tasks. Implementation is not only limited to that. Various industries are also using this revolutionary technology for maintaining a superior customer experience. People are also criticizing ChatGPT for creating employment threats and also being unethical in it's answers. The technology is being widely applauded but everything has certain pain points associated with it.
This document provides a technical introduction to large language models (LLMs). It explains that LLMs are based on simple probabilities derived from their massive training corpora, containing trillions of examples. The document then discusses several key aspects of how LLMs work, including that they function as a form of "lossy text compression" by encoding patterns and relationships in their training data. It also outlines some of the key elements in the architecture and training of the most advanced LLMs, such as GPT-4, focusing on their huge scale, transformer architecture, and use of reinforcement learning from human feedback.
The document discusses AI tools for software testing such as ChatGPT, Github Copilot, and Applitools Visual AI. It provides an overview of each tool and how they can help with testing tasks like test automation, debugging, and handling dynamic content. The document also covers potential challenges with AI like data privacy issues and tools having superficial knowledge. It emphasizes that AI should be used as an assistance to humans rather than replacing them and that finding the right balance and application of tools is important.
This document discusses using ChatGPT to plan a meetup session. It provides an agenda for exploring ChatGPT's capabilities, including finding a title, writing marketing copies, social posts, an email sequence, and presentation slides. Attendees are invited to share their experiences interacting with ChatGPT. The next event is announced as focusing on using ChatGPT for email marketing.
This document provides an overview of Chat GPT, an AI tool launched in November 2022 by OpenAI. It discusses that Chat GPT allows for conversational dialogues and aims to give accurate answers while admitting mistakes. The document notes that Chat GPT was trained on huge amounts of online text data to generate human-like responses. Potential uses of Chat GPT discussed include powering virtual customer service agents, personal assistants, social media moderation, and improving machine translation.
ChatGPT is a large language model chatbot created by OpenAI to have human-like conversations. It was trained on a vast corpus of text which allows it to provide quick, scalable, and cost-effective responses. However, as an AI system, ChatGPT lacks common sense, has limited domain knowledge, and cannot be truly creative in its responses.
The document discusses advances in large language models from GPT-1 to the potential capabilities of GPT-4, including its ability to simulate human behavior, demonstrate sparks of artificial general intelligence, and generate virtual identities. It also provides tips on how to effectively prompt ChatGPT through techniques like prompt engineering, giving context and examples, and different response formats.
The document discusses ChatGPT, an AI assistant created by OpenAI to be helpful, harmless, and honest. It provides an overview of ChatGPT's capabilities, including uses for tasks like translation, creativity, and academic writing through activities like paper reviewing and topic finding. The document tests ChatGPT by having it review one of the author's own publications and examines methods for detecting AI-generated text.
ChatGPT is a chatbot developed by OpenAI and launched in November 2022. Useful to all the school and college going Kindly use ChatGPT to enhance your knowledge
ChatGPT is an AI system built using transformer models that can answer questions based on its training, but has limitations. It does not actually reason or have a memory, but rather predicts responses based on the input text and its training. While it can provide lengthy and detailed-seeming responses, it is ultimately limited by its context window size and lacks the ability to learn new information or recall facts from its training. Users are advised to provide examples and context to prompts to help guide ChatGPT's responses and interpret results as autocomplete suggestions rather than verified facts.
Here are some key ethical issues to consider when using generative AI like ChatGPT in the classroom: 1. Accuracy and reliability of information. Students may take generative AI outputs as fact without verifying the information. Teachers need to emphasize to students that AI systems can be wrong or generate implausible responses. 2. Bias and unfair treatment. As the systems are trained on human-created data, they risk perpetuating biases in that data if not developed carefully. Teachers should be aware of potential biases. 3. Privacy and consent. Student data used to improve systems raises privacy issues. Systems should not collect private student data without permission. 4. Authorship and ownership. It may not be clear
ChatGPT is an AI chatbot created by OpenAI to conduct conversational dialogue using natural language. It was trained on vast amounts of internet data using transformer models. ChatGPT can be used for writing, translation, content generation, and as a virtual assistant. While helpful, it lacks human emotional intelligence and current real-world knowledge. OpenAI aims to expand ChatGPT's abilities while ensuring ethical usage.
A guide on how to do keyword research using ChatGPT. Comparison of ChtGPT keyword research versus standard keyword research, the pros and cons, as well as some really great keyword research prompts to try within ChatGPT.
ChatGPT is an AI assistant created by OpenAI to have natural conversations. It was trained on a large text dataset to recognize patterns and generate responses in different styles. Since its release, ChatGPT has gained over 1 million users in its first week and demonstrated abilities like answering follow-up questions, admitting mistakes, and rejecting inappropriate requests. While ChatGPT shows promise for more human-like conversations, experts note it still has limitations like potential for incorrect answers and bias issues due to limitations in its training data.
ChatGPT is an AI assistant created by OpenAI to have natural conversations. It was trained on a large text dataset to recognize patterns and generate responses in different styles. Since its release, ChatGPT has gained over 1 million users in its first week and demonstrated abilities like answering follow-up questions, admitting mistakes, and rejecting inappropriate requests. While ChatGPT shows promise for more human-like conversations, experts note it still has limitations like potential for incorrect answers and bias issues due to limitations in its training data.
Chat GPT is an AI chatbot system released by OpenAI in November 2022 that can answer questions using its vast database of internet text. It was trained using reinforcement learning from human feedback on 570GB of text. While Chat GPT can be helpful, it has limitations like occasionally providing incorrect answers and having a limit of 60-70 questions per hour. It marks progress in natural language processing, but still lacks critical thinking skills.
This document presents information about ChatGPT, an AI chatbot created by OpenAI. It discusses what ChatGPT is, how it was developed by OpenAI, and how it works using large language models and feedback to continuously update its responses. The document also covers the advantages and disadvantages of ChatGPT, how it compares to Google, whether it could replace human jobs, and how to create an account to access ChatGPT's capabilities.
This document provides an overview of using ChatGPT for business purposes. It begins with an introduction to AI and ChatGPT. ChatGPT is described as a large language model created by OpenAI that can generate human-like responses to text. The document then discusses how ChatGPT works and its capabilities. Several use cases for ChatGPT in business are presented, including content creation, customer support, and data analysis. Potential limitations of ChatGPT for business are also outlined, such as accuracy, context understanding, and data privacy. The document concludes with information on pricing ChatGPT through Microsoft Azure and leaves room for questions.
Session slides that provide insight, new ideas, and practical uses of ChatGPT. This session dove into how I am using these AI mechanisms to support a large Information Development team, including translators. I show the ways my colleagues are using ChatGPT to increase productivity, speed up content migrations, improve content quality, plus more. I’ll touched on the plan to use ChatGPT to add additional automation.
So, what exactly are chatbots? Simply put, chatbots are computer programs designed to simulate conversation with human users, especially over the Internet. They can be found on websites, messaging apps, and mobile apps, and are often used to provide customer service, answer frequently asked questions, or assist with online transactions. Now you might be wondering, why are chatbots useful? There are several reasons why chatbots can be beneficial: 24/7 availability: Chatbots can operate around the clock, so users can get help or information at any time of day. Increased efficiency: Chatbots can handle multiple conversations at once, so they can assist more users in a shorter amount of time. Personalization: Chatbots can be programmed to tailor their responses based on the user's input, creating a more personalized experience. Cost-effective: Chatbots can often handle simple tasks at a lower cost than hiring additional human staff. In summary, chatbots are useful because they can provide instant assistance to users, operate efficiently, offer personalized interactions, and can be a cost-effective solution for businesses. This course is an introduction to chatbots and how to build them using GPT (Generative Pretrained Transformer). Chatbots are computer programs designed to simulate conversation with human users, and they can be found on websites, messaging apps, and mobile apps. They are often used to provide customer service, answer frequently asked questions, or assist with online transactions. GPT is a state-of-the-art language processing model developed by OpenAI that can generate human-like text. It can be fine-tuned for various language tasks, including chatbot development. In this course, you will learn the basics of chatbot development and how to use GPT to build your own chatbot. You will also learn advanced techniques for handling context, incorporating external data, customizing the chatbot's personality, and deploying the chatbot. By the end of this course, you will have the knowledge and skills to build and deploy your own chatbot using GPT. GPT (Generative Pre-trained Transformer) is a state-of-the-art language processing model developed by Open AI. It is a type of artificial intelligence (AI) that is capable of generating human-like text. GPT works by training on a large dataset of human-generated text, such as articles, books, and websites. It uses this training data to learn the patterns and structures of human language. Once it has been trained, GPT can be fine-tuned for a specific language task, such as translation, summarization, or chatbot development. To generate text, GPT takes in a prompt, or a piece of text that provides context or a starting point for the output. It then uses its knowledge of language patterns to generate a response that is coherent and relevant to the prompt. The generated text is not a copy of the input, but rather it is generated based on the model's understanding of the language.
Residence /Sitemap /Personal Computer Programming (General) Neighborhood QuestionsEvery web page ins...
Artificial intelligence and conversational search are having their big moment right now, and it’s easy to see why. Its relevant to all of us. Its potential to enhance our daily lives is the foundation of its widespread adoption…but measuring our satisfaction correctly *in the moment* is the key to its ultimate success – or failure. The future of search lies in the ability of conversational UI to make human-to-computer interactions correct, relevant and useful. The satisfaction metric is the key to moving search ahead, making personal AI assistants essential sidekicks in everyday life. The more our personal AIs “get” us, the more we want to talk with them. In this session, Ozlo’s Principal Engineering Lead Heidi Young, who has lived and breathed search for more than 10 years, will discuss how the success of AI-driven assistants – and their ability to enhance our lives – depends on a specific satisfaction metric. By breaking down human-to-computer interactions and focusing on immediate feedback loops (micro-level metrics) instead of solely on lagging indicators (macro-level metrics), satisfaction is more effectively measured. This type of engagement is a game-changer is measuring satisfaction and indicating happiness. It should be a top priority of AI architects, since users who have positively ending conversations come back. This is the key to the new personal AI assistant revolution.
Rethinking Object Orientation - By Kathleen Dollard Decades after object orientation design altered programming, it’s still evolving, and we’re still learning to use it better. Many changes in the tools we use and how we write applications affect the approach we take to OOD. Some of these changes relate to architecture where approaches like SOA and the layering revolution behind Silverlight alter the place of traditional OOD within the bigger picture of architecture. Other changes are language improvements that alter the very meaning of the phrase “object” from a design point of view. Language features that alter our implementation of logical objects include generics, extension methods, delegates/lambda expressions, partial classes/methods, reflection, anonymous types, and declarative programming. We’ll also explore the growing role of interfaces as a contractual base in composable applications and explore differences between traditional applications and ecosystem empowering applications. I’m really excited to give this talk to a group with diverse skillsets! Come ready for multi-way conversations because I want to learn from you.
In 2023, artificial intelligence can write article drafts, manage social media accounts and identify syndication partners. AI tools will empower you to level-up your SEO and content marketing without replacing your human imagination or judgment. Now is the time to start integrating AI tools into your SEO and content workflow – before AI-savvy competitors begin to dominate the market. Join marketing AI expert Dale Bertrand as he shares his playbook for using AI tools for SEO and content to increase your productivity and marketing results.
The document discusses artificial intelligence (AI) and how it may impact lives in the near future. It provides six bullet points predicting how AI could: 1) improve efficiency and productivity, 2) enhance decision-making, 3) enhance personalization, 4) improve healthcare, 5) improve transportation, and 6) improve education. AI has potential to automate tasks, provide insights, personalize services, enable more accurate medical diagnoses, revolutionize transportation through autonomous vehicles, and improve education through personalized learning and more efficient assessment. However, the document notes AI does not have human-level sentience or ability to evolve on its own.
We’ve trained a model called ChatGPT which interacts conversationally. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to Instruct GPT, which is trained to follow the instruction in a prompt and provide a detailed response. ChatGPT can be used for a wide range of natural language processing tasks. Some of the potential applications of ChatGPT include: ● Text generation: ChatGPT can be used to generate human-like text responses to prompts, which makes it useful for creating chatbots for customer service, generating responses to questions in online forums, or even creating personalized content for social media posts. ● Language translation: ChatGPT can also be used for language translation tasks. By providing the model with a text prompt in one language and specifying the target language, the model can generate accurate and fluent translations of the text. ● Text summarization: ChatGPT can be used to generate summaries of long documents or articles. This can be useful for quickly getting an overview of a text without having to read the entire document. ● Sentiment analysis: ChatGPT can be used to analyze the sentiment of a given text. This can be useful for understanding the overall tone and emotion of a piece of writing, or for detecting the sentiment of customer feedback to improve customer satisfaction. ● Overall, ChatGPT is a versatile tool that can be used for a wide range of natural language processing tasks. The specific applications of the model will depend on the needs and goals of the user.
Ozlo VP of Engineering, Heidi Young, talks about "The Future of Search: How Measuring Satisfaction Will Enhance Our Personal AIs and Our Lives" at Seattle Interactive 2016
Ozlo VP of Engineering, Heidi Young, talks about "The Future of Search: How Measuring Satisfaction Will Enhance Our Personal AIs and Our Lives" at Seattle Interactive 2016
ChatGPT is a highly advanced tool that allows non-technical users access to powerful capabilities and reduces the time required to develop applications. Consider that we want to build a to-do list application using React Native. Now with the help of ChatGPT, we will start the development process.
This document discusses reading processes and strategies, assistive technologies, and the Reading and Writing Innovation Lab at Oxford. It makes three key points: 1. Academic reading is complex, involving strategies like skimming, scanning, and nonlinear engagement rather than solely linear reading. This poses challenges for assistive technologies that focus only on decoding. 2. The lab tests and demonstrates hardware and software to help students with disabilities access academic texts. It compares options like e-readers, tablets, and scanning pens. 3. True assistance requires understanding reading as a multifaceted process and how tools can support strategies like comparing passages and creating an interactive dialogue with texts. The lab's work aims to advance this understanding and help people
Talk presented at Media and Learning 2022 What is more effective? Supporting teachers to improve their teaching, or students to become more productive in making the most out of the teaching they receive? This is a question many university centres for teaching are grappling with. On the one hand, their remit is to focus on building the skills of their teaching staff. But on the other hand, students often lack skills in dealing with content that are wrongly assumed to be ‘natural’. This presentation will contrast two guides created to support the use of multimedia: one for academics creating instructional videos and one for students accessing recorded lectures. This comparison will show that the guides show relatively little overlap because the needs of creators and viewers of multimedia may not be perfectly aligned. I will discuss ways in which this disparity could be addressed both individually and institutionally.
Presentation introducing a panel discussion on the present and future of speech recognition for lecture capture at Digifest 2022 online fringe on Assistive Technologies: https://www.jisc.ac.uk/events/focus-on-the-future-new-developments-in-accessible-and-assistive-technologies-16-mar-2022
Presentation introducing a panel discussion on the present and future of speech recognition for lecture capture at Digifest 2022 online fringe on Assistive Technologies: https://www.jisc.ac.uk/events/focus-on-the-future-new-developments-in-accessible-and-assistive-technologies-16-mar-2022
This document discusses the hidden skills and knowledge gaps related to hybrid teaching. It defines key terms like skills, knowledge, and gaps. It explores different levels of mental models that people have when it comes to technology. It presents different hybrid teaching scenarios and the equipment needed to effectively conduct hybrid classes. The document emphasizes that while factual knowledge is important, developing fluency through deliberate practice is also necessary to develop skills. Mental models, metaphors, and chunking information can help manage complex hybrid teaching situations.
Presentation delivered at ALT2021 Winter Conference. Related reading on https://doi.org/10.21252/e01f-8m82.
The document discusses the author's experience owning and gifting domain names over 20 years. Some key points covered include: - The author now owns 30+ domains which they have used for emails, websites, and gifts. - It's important to understand how domains link to website files and folders stored on web servers via IP addresses. - When purchasing domains, factors to consider include the registrar, top-level domain, prices, and rules for different TLDs. - Lessons learned are that domains require long-term management, separating hosting from domains, avoiding expiration, and planning for transfers.
Slides for my session at SCLC 2019 at Harvard: https://slavic.fas.harvard.edu/2019-conference.
Slides for a session run at the IT Learning Centre at University of Oxford as part of the Digiknow series. http://digiknow.sbsblogs.co.uk
This document discusses how to create concise summaries and visual representations of information through mind maps, outlines, and other graphic tools. It provides an overview of different outlining and visualization tools like MindMaps, SmartArt, XMind, LucidChart, and Checkvist. The document emphasizes that these tools help improve comprehension by transforming text-heavy information into organized graphic structures. It also provides tips for effectively using the outlining and visualization features in Microsoft Word and other office tools to structure information before converting it into impactful visuals.
These slides support a session run at Oxford University IT Learning Centre. It is posted on http://digiknow.sbsblogs.co.uk.
The document discusses improving computer productivity through better use of keyboard shortcuts, file organization, screen organization, and productivity utilities. It provides tips for using keyboard shortcuts over the mouse, organizing files in a logical tree structure with descriptive names and file extensions, displaying windows and resizing screens to maximize viewing areas and minimize distractions. It also recommends various productivity utilities for tasks like clipboard management, password management, file searching, backups, and automation to help synchronize and streamline computer use.
This document discusses how online corpora can be used as a tool by literacy teachers. It begins by defining what a corpus is - a large database of representative language samples used for linguistic research. It then provides examples of free online corpora like COCA that teachers can use to answer questions about language patterns and usage. The document outlines how to effectively search corpora and interpret results, as well as limitations to be aware of. It also provides ideas for how teachers can incorporate corpora into classroom activities and lessons.
1. The document proposes a new approach to analyzing Czech verbs without aspect, treating aspect as a modal category rather than a grammatical one. 2. It argues Czech can be analyzed as having 8 tenses by combining 3 aspects (perfective, imperfective, repetitive) with past, present, and future. 3. This approach simplifies the analysis of Czech verbs and allows for easier comparison to English verbal categories.
The document summarizes research into developing a dyslexia-friendly digital reading application. It outlines common reading difficulties for those with dyslexia and modifications that can help, such as font size and line spacing. Current reader apps are described as lacking accessibility features. A prototype reader app was created with text-to-speech, chunking, guidance modes, and structure/navigation features. A preliminary study found students engaged more with reading using the prototype and attributed improvements to it. Further research is needed to incorporate these features into mainstream reader apps and connect them to document repositories.
This document outlines the need for a phonics engine to provide automated guidance for struggling readers. It discusses the linguistic challenges dyslexic readers face and how a phonics engine could help by identifying phonetic patterns in words, appropriate syllable breaks, and word structure. The document then describes the specification, implementation, and applications of the phonics engine, including a phonics profile, annotated dictionary, and text highlighting tools to support readers and educational games. Next steps include expanding the dictionary and refining the lookup and highlighting routines.
Lightning talk presented at OER15 in Cardiff. Much talk about accessibility is focused on removing primary barriers to the content for those with specific needs (perceptual, cognitive or physical). This can be done with a closed license document as much as an open license document provided it is not encumbered with Digital Rights Management restrictions. However, in practice, restrictive licensing comes with other restrictive practices that prevent accessibility. In many countries, it is legal to make accessible copies despite other restrictions but this requires setting their users apart and putting other barriers in their way. This lightning talk will showcase several case studies demonstrating how closed licensing puts may be compatible with individual accessibility but works against inclusion. I hope that it will provide another argument for the promotion of OERs at all levels of education.
This document discusses the importance of having early conversations about licensing for collaborative projects. It provides examples from three projects where discussing licensing early helped address issues around intellectual property ownership and copyright. The key points are: - Discussing licensing early clarifies copyright ownership and conditions of use when collaborators leave a project. - Open licensing allows materials to be shared more openly while still protecting intellectual property through attribution. It avoids awkward later conversations about use and ownership. - The three example projects all accepted open licensing principles after discussions, though one chose a more restrictive license and one a more liberal license than originally proposed.
A guide produced for teachers who want to use images and other media found online on made by them in PowerPoints and other teaching resources.
This document discusses frames as constructions in discourse and the role of negotiation in shaping the inventory of frames used. It provides two examples of frame negotiation in educational policy discourse: 1) the metaphor of education as a marketplace, and 2) debates around central vs. local control of education. Underlying schemas and scenarios that shape these debates are analyzed, such as proximity and outsider/insider perspectives. The author argues that only by understanding frames as negotiated constructions can we fully comprehend policy discourse and its limitations. Open questions are also raised about the methodological implications and potential dangers of this analytical approach.
Here we are going to discuss how to store data in Odoo 17 Website. It includes defining a model with few fields in it. Add demo data into the model using data directory. Also using a controller, pass the values into the template while rendering it and display the values in the website.
"DANH SÁCH THÍ SINH XÉT TUYỂN SỚM ĐỦ ĐIỀU KIỆN TRÚNG TUYỂN ĐẠI HỌC CHÍNH QUY NĂM 2024 KHỐI NGÀNH NGOÀI SƯ PHẠM"
Now we can take look into how to configure time off types in odoo 17 through this slide. Time-off types are used to grant or request different types of leave. Only then the authorities will have a clear view or a clear understanding of what kind of leave the employee is taking.
https://app.box.com/s/ujmypxg6wegshvv0hmylp5m8hx4dnzrc
In Odoo 17, sample data serves as a valuable resource for users seeking to familiarize themselves with the functionalities and capabilities of the software prior to integrating their own information. In this slide we are going to discuss about how to show sample data to a tree view and a kanban view.
Principles of Rood’s Approach Treatment technique used in physiotherapy for neurological patients which aids them to recover and improve quality of life Facilitatory techniques Inhibitory techniques
Join educators from the US and worldwide at this year’s conference, themed “Strategies for Proficiency & Acquisition,” to learn from top experts in world language teaching.
Curricuum Map in Grade 7 English aligned with matatag
we may assume that God created the cosmos to be his great temple, in which he rested after his creative work. Nevertheless, his special revelatory presence did not fill the entire earth yet, since it was his intention that his human vice-regent, whom he installed in the garden sanctuary, would extend worldwide the boundaries of that sanctuary and of God’s presence. Adam, of course, disobeyed this mandate, so that humanity no longer enjoyed God’s presence in the little localized garden. Consequently, the entire earth became infected with sin and idolatry in a way it had not been previously before the fall, while yet in its still imperfect newly created state. Therefore, the various expressions about God being unable to inhabit earthly structures are best understood, at least in part, by realizing that the old order and sanctuary have been tainted with sin and must be cleansed and recreated before God’s Shekinah presence, formerly limited to heaven and the holy of holies, can dwell universally throughout creation
Odoo allows users to split long shifts into multiple segments directly from the Gantt view.Each segment retains details of the original shift, such as employee assignment, start time, end time, and specific tasks or descriptions.
Title: Relational Database Management System Concepts(RDBMS) Description: Welcome to the comprehensive guide on Relational Database Management System (RDBMS) concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in RDBMS, offering a structured approach to understanding databases in the context of modern computing. PDF content is prepared from the text book Learn Oracle 8I by JOSE A RAMALHO. Key Topics Covered: Main Topic : DATA INTEGRITY, CREATING AND MAINTAINING A TABLE AND INDEX Sub-Topic : Data Integrity,Types of Integrity, Integrity Constraints, Primary Key, Foreign key, unique key, self referential integrity, creating and maintain a table, Modifying a table, alter a table, Deleting a table Create an Index, Alter Index, Drop Index, Function based index, obtaining information about index, Difference between ROWID and ROWNUM Target Audience: Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in RDBMS principles for academic and practical applications. About the Author: Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in database management. Disclaimer: This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of RDBMS as of 2024. Feedback and Contact Information: Your feedback is valuable! For any queries or suggestions, please contact muruganjit@agacollege.in
Some business organizations give membership to their customers to ensure the long term relationship with those customers. If the customer is a member of the business then they get special offers and other benefits. The membership module in odoo 17 is helpful to manage everything related to the membership of multiple customers.
Integrated Marketing Communications (IMC)- Concept, Features, Elements, Role of advertising in IMC Advertising: Concept, Features, Evolution of Advertising, Active Participants, Benefits of advertising to Business firms and consumers. Classification of advertising: Geographic, Media, Target audience and Functions.
Howe Writing Center - Orientation Summer 2024
In Odoo, the pivot view is a graphical representation of data that allows users to analyze and summarize large datasets quickly. It's a powerful tool for generating insights from your business data. The pivot view in Odoo is a valuable tool for analyzing and summarizing large datasets, helping you gain insights into your business operations.