Prompt engineering is a technique in artificial intelligence to get AI models like ChatGPT to respond correctly to our needs. The 5W1H framework can be used to get good results from ChatGPT by structuring prompts around what, who, why, where, which, and how. Prompts should provide context on what is expected from the AI, who the context is for, why the generated content is needed, where it will be used, which additional information is required, and how the output should be formatted. Well-structured prompts using this framework can elicit high-quality responses from ChatGPT.
Prompt engineering is a fundamental concept within the field of artificial intelligence, with particular relevance to natural language processing. It involves the strategic embedding of task descriptions within the input data of an AI system, often in the form of a question or query, as opposed to explicitly providing the task description separately. This approach optimizes the efficiency and effectiveness of AI models by encapsulating the desired outcome within the input context, thereby enabling more streamlined and context-aware responses.
Prompt Engineering - an Art, a Science, or your next Job Title?Maxim Salnikov
It's quite ironic that to interact with the most advanced AI in our history - Large Language Models: ChatGPT, etc. - we must use human language, not programming one. But how to get the most out of this dialogue i.e. how to create robust and efficient prompts so AI returns exactly what's needed for your solution on the first try? After my session, you can add the Junior (at least) Prompt Engineer skill to your CV: I will introduce Prompt Engineering as an emerging discipline with its own methodologies, tools, and best practices. Expect lots of examples that will help you to write ideal prompts for all occasions.
This session is based on my research and experiments in Prompt Engineering and is 100% relevant for cloud developers who investigate adding some LLM-powered features to their solutions. It's a guide to building proper prompts for AI to get desired results fast and cost-efficient.
Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs. It involves crafting clear and specific instructions and allowing the model sufficient time to process information. By carefully engineering prompts, practitioners can harness the capabilities of LLMs to achieve different goals.
Prompt engineering is a fundamental concept within the field of artificial intelligence, with particular relevance to natural language processing. It involves the strategic embedding of task descriptions within the input data of an AI system, often in the form of a question or query, as opposed to explicitly providing the task description separately. This approach optimizes the efficiency and effectiveness of AI models by encapsulating the desired outcome within the input context, thereby enabling more streamlined and context-aware responses.
Prompt Engineering - an Art, a Science, or your next Job Title?Maxim Salnikov
It's quite ironic that to interact with the most advanced AI in our history - Large Language Models: ChatGPT, etc. - we must use human language, not programming one. But how to get the most out of this dialogue i.e. how to create robust and efficient prompts so AI returns exactly what's needed for your solution on the first try? After my session, you can add the Junior (at least) Prompt Engineer skill to your CV: I will introduce Prompt Engineering as an emerging discipline with its own methodologies, tools, and best practices. Expect lots of examples that will help you to write ideal prompts for all occasions.
This session is based on my research and experiments in Prompt Engineering and is 100% relevant for cloud developers who investigate adding some LLM-powered features to their solutions. It's a guide to building proper prompts for AI to get desired results fast and cost-efficient.
Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs. It involves crafting clear and specific instructions and allowing the model sufficient time to process information. By carefully engineering prompts, practitioners can harness the capabilities of LLMs to achieve different goals.
What exactly is ChatGPT? ChatGPT is an open-source ChatGPT framework that allows developers to build their own ChatGPT using pre-built modules. The framework is built using NodeJS, AngularJS, ExpressJS, MongoDB, Redis, and Docker.
Seminar on ChatGPT Large Language Model by Abhilash Majumder(Intel)
This presentation is solely for reading purposes and contains technical details about ChatGPT fundamentals
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Dive into the world of GPT-4, the state-of-the-art AI language model by OpenAI. Learn how to craft effective prompts and unlock the full potential of GPT-4 for a wide range of applications, including content generation.
Keywords:
GPT-4, OpenAI, artificial intelligence, language model, prompting, content generation, machine learning, natural language processing, NLP, deep learning, tokenization, context window, prompt engineering, reinforcement learning, fine-tuning, response quality, API, zero-shot learning, few-shot learning, AI ethics, use cases, best practices, performance optimization, transformer architecture, AI-powered solutions.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
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.
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
How AI is going to change the world _M.Mujeeb Riaz.pdfMujeeb Riaz
How AI is going to change the world?
"AI: The Future of Our World“
"AI and its Transformative Impact on the World: Understanding the Potential of Chatbots and Conversational AI"
What is Artificial Intelligence and how it works?
What are Chatbots?
What Is ChatGPT?
Difference between chatGPT 3 and chatGPT 4?
Is Jasper artificial intelligence?
What is Character AI and how it works?
How chatGPT is going to change the world?
Why we are calling ChatGPT the future?
As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
This book is about new technology of Openio's ChatGPT.
Published By:
http://braddicksholidaycentre.co.uk/
Braddicks Holiday Centre is a holiday park located in Westward Ho North Devon offering family holidays and pet friendly accommodation next to the seaside.
Unlocking the Power of ChatGPT and AI in Testing - NextSteps, presented by Ap...Applitools
Gain insights into the practical applications of ChatGPT, Bard, and other AI-based technological advancements, including GitHub CoPilot and Applitools Self-Healing Cloud, in this session with Anand Bagmar. Through specific use cases, Anand demonstrates how to enhance test automation processes—making them faster, more stable, and easier to implement.
Session recording and more info at applitools.com
Uncover how these tools can revolutionize your testing strategies and stay ahead of the curve in the ever-evolving world of test automation.
At times, you have to build docs that cover not only REST-y APIs but also frontend SDKs. What do you do, when you have to offer docs for multiple such SDKs, based on different frameworks, under rapid, uncoordinated development with multiple feature enhancements per iteration and at times, with breaking changes, but versioned and searchable?
What exactly is ChatGPT? ChatGPT is an open-source ChatGPT framework that allows developers to build their own ChatGPT using pre-built modules. The framework is built using NodeJS, AngularJS, ExpressJS, MongoDB, Redis, and Docker.
Seminar on ChatGPT Large Language Model by Abhilash Majumder(Intel)
This presentation is solely for reading purposes and contains technical details about ChatGPT fundamentals
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Dive into the world of GPT-4, the state-of-the-art AI language model by OpenAI. Learn how to craft effective prompts and unlock the full potential of GPT-4 for a wide range of applications, including content generation.
Keywords:
GPT-4, OpenAI, artificial intelligence, language model, prompting, content generation, machine learning, natural language processing, NLP, deep learning, tokenization, context window, prompt engineering, reinforcement learning, fine-tuning, response quality, API, zero-shot learning, few-shot learning, AI ethics, use cases, best practices, performance optimization, transformer architecture, AI-powered solutions.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
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.
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
How AI is going to change the world _M.Mujeeb Riaz.pdfMujeeb Riaz
How AI is going to change the world?
"AI: The Future of Our World“
"AI and its Transformative Impact on the World: Understanding the Potential of Chatbots and Conversational AI"
What is Artificial Intelligence and how it works?
What are Chatbots?
What Is ChatGPT?
Difference between chatGPT 3 and chatGPT 4?
Is Jasper artificial intelligence?
What is Character AI and how it works?
How chatGPT is going to change the world?
Why we are calling ChatGPT the future?
As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
This book is about new technology of Openio's ChatGPT.
Published By:
http://braddicksholidaycentre.co.uk/
Braddicks Holiday Centre is a holiday park located in Westward Ho North Devon offering family holidays and pet friendly accommodation next to the seaside.
Unlocking the Power of ChatGPT and AI in Testing - NextSteps, presented by Ap...Applitools
Gain insights into the practical applications of ChatGPT, Bard, and other AI-based technological advancements, including GitHub CoPilot and Applitools Self-Healing Cloud, in this session with Anand Bagmar. Through specific use cases, Anand demonstrates how to enhance test automation processes—making them faster, more stable, and easier to implement.
Session recording and more info at applitools.com
Uncover how these tools can revolutionize your testing strategies and stay ahead of the curve in the ever-evolving world of test automation.
At times, you have to build docs that cover not only REST-y APIs but also frontend SDKs. What do you do, when you have to offer docs for multiple such SDKs, based on different frameworks, under rapid, uncoordinated development with multiple feature enhancements per iteration and at times, with breaking changes, but versioned and searchable?
CAPTCHA stands for Completely Automated
Public Turing Test to tell computers and Humans Apart.
In order to validate the digital transaction, using the CAPTCHA system the user is presented with a distorted word typically placed on top of a distorted background. The user must type the word into a field in order to complete the process.
Hello guys! The ppt consists of a machine learning introduction.
What are the things we will be learning on this ppt?
1. Prerequisites before learning machine learning
- Python(programming language)
- Python libraries
2. Machine learning
3. Types of machine learning
4. Applications of Machine learning
5. Advantages of Machine learning
6. Simple Example of Machine learning
Slides used during the virtual conference, NetCoreConf on April 04, 2020. The session was a introduction to Machine Learning for .Net developers, using ML.Net as the main framework.
The AI Revolution - AmeriTitle Rise & Shine - Aaron Stelle WFG TitleAaron Stelle
In this presentation, Aaron Stelle, VP of Marketing and Technology for WFG National Title, talks about the 4th technological revolution which is AI. This focuses on the application for the Real Estate industry and ChatGPT but touches on multiple other uses and AI companies. This presentation was done for the AmeriTitle Rise & Shine on 5/23/23
This talk will be about modern AI Programmers that can generate complete programs from commands in English or German. We will look at several examples of how an AI assistant can help you program faster with just simple commands in English — even asking it to write a whole program with just voice commands.
AI has the potential to dominate how programmers write code in the near future. These AI engines can greatly improve developer productivity; while reducing time-to-ship for products and services, and minimizing human error.
However, it is still a long way till AI code engines can work autonomously and independently by themselves as complex problem-solving skills and intuition cannot be replicated (which are critical for new challenges and problems).
How to Use Artificial Intelligence to Grow Your BusinessSIXTY
Are you interested in learning how to use Artificial Intelligence and Machine Learning for business? If so, then be sure to download this information-packed PDF based on a presentation made by internationally recognized author, speaker, and network TV news contributor Jamie Turner.
What does OOP stand for?
When Object Oriented Programming(OOP) is taught so extensively, do computer programmers, specifically within games development, realise what it's possibly doing to productivity and performance? I explain my own view from experience in personal projects and professional work.
This talk was given to the Edinburgh meet of IGDA Scotland, on 2011/07/27.
scratch course-part2-2023
Scratch is a high-level block-based visual programming language and website aimed primarily at children as an educational tool, with a target audience of ages 8 to 16.
AI, Machine Learning & Data: What Businesses Need to Know!
From autonomous driving to predictive analytics, robotic manufacturing to smart homes, how we live, work and play is impacted in profound ways.
CloudFactory makes it super EASY to offload data work so our customers can focus on innovation and growth. We specialize in preparing and organizing data sets and work with companies like Microsoft, Embark, Drive.ai, FaceTec to implement them into building innovative AI, ML and other complex technologies.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
