welcome to this complete tutorial on prompt Engineering in this video you'll gain a comprehensive understanding of prompt engineering we'll cover the fundamentals of prompt engineering and why it's essential various types of prompts and how to use them effectively common mistakes to avoid when crafting prompts Advanced Techniques to write better more impactful prompts real world applications of prompt engineering across different fields and so much more to make it even more engaging I'll be showing live demos using chat GP to help you generate better results and refine your prompts in real time stick with me until the
end and you'll have the tools and knowledge to master prompt engineering like a pro let's Dive In [Music] [Music] before we begin let me give you an overview of what we'll cover in this video this tutorial is divided into clear modules to help you master prompt engineering step by step module one basic terms and prompt engineering we'll start by exploring the fundamental terms and Concepts commonly used in this field module two introduction to prompt engineering once you understand the terminology we'll dive into what prompt engineering is all about and its importance module three overview of
llms and chat GPT in this module we'll briefly cover how large language models llms like chat GPT work in their role in prompt engineering module four basics of crafting effective prompts this module will teach you the essentials of creating prompts including types of prompts common mistakes to avoid key components of a successful prompt module five steps to write excellent prompts we'll go over actionable steps and techniques to craft exceptional prompts and Achieve better results module six applications of prompt engineering discover the diverse applications of prompt engineering across Industries and real world use cases module 7
ethics and prompt engineering finally we'll discuss the ethical considerations that every prompt engineer must follow to ensure responsible usage stick with me till the end and by the time we're done you'll have a thorough understanding of prompt engineering and how to excel in it let's get started let's dive into the very first mod module since prompt engineering is a part of artificial intelligence AI it's important to first understand what AI is what is artificial intelligence ai ai refers to a set of technologies that enable computers to perform Advanced functions such as analyzing data understanding patterns
making recommendations and much more at its core AI empowers machines to simulate humanlike intelligence enabling them to solve problems and make decisions without constant human inv involvement what is an AI model an AI model is a program that has been trained on a data set to recognize patterns make predictions or carry out specific tasks autonomously once trained these models can function without direct human intervention streamlining processes and improving efficiency what is a data set a data set is a structured collection of data organized and stored for analysis or processing it serves as the foundation for
training AI models allowing them to learn identify patterns and improve their performance over time with these Basics covered let's move deeper into the fascinating world of prompt engineering now let's look at some famous examples of AI models and their applications chat GPT language model a state-of-the-art language model that can generate text answer questions write code and much more it's designed to understand and produce humanlike responses making it a key tool for prompt engineering Google Translate translation model a powerful translation model that converts text from one language to another in real time it demonstrates how AI
can Bridge language barriers with accuracy and speed Tesla autopilot vision and decision model this model enables Tesla cars to navigate autonomously by analyzing the environment and making driving decisions it's a prime example of how AI integrates vision and decision-making to perform complex tasks these examples highlight the versatility of AI models across different domains showing how they are transforming Industries and daily life the next key term is prompt what is a prompt a prompt is the input or instruction given to an AI model to guide it and generating the desired response in simple terms it's how
we communicate with AI models to tell them what we need for example if you instruct an AI model to write a poem on artificial intelligence the instruction you've given is the prompt what is output for every prompt we provide to an AI model we receive a corresponding response this response generated by the AI is called the output prompts form the foundation of prompt engineering as the quality of your prompt directly impacts the quality of the output next let's talk about context what is context in the realm of prompt engineering context refers to the background information
or framing provided in the prompt to help the AI better understand the task or scenario why is context important context plays a crucial role in writing effective prompts without sufficient context the AI May produce generic responses irrelevant answers or even completely incorrect outputs providing the right context ensures that the AI aligns its response to your specific requirements example consider this prompt assume you are a customer service chatbot how would you respond to a customer asking for a refund here the phrase to assume you are a customer service chatbot serves as the context it helps the
AI frame its response in a professional customer oriented tone in summary adding proper context to your prompts leads to more accurate relevant and useful outputs context is one of the key components of effective prompt engineering by now you should have gained a basic understanding of prompts let's move to the next module module two introduction to prompt engineering what is prompt engineering prompt engineering is the skill of crafting precise and well-structured instructions called prompts to guide AI models and generating specific and useful outputs why is it important the way you frame your prompt can significantly impact
the quality of the ai's response a well-designed prompt leads to accurate and relevant results while a vague one might produce generic or off-target responses examples of prompts simple prompt write a poem about nature this is Broad and may result in a general poem detailed prompt write a four-line poem about a calm forest with a peaceful tone this provides Clarity and Direction resulting in a more focused output key takeaway the more specific and detailed your prompt the better the result mastering this skill is what makes prompt engineering so powerful and valuable in the AI landscape why
is prompt engineering important prompt engineering is a critical skill because it ensures high quality outputs well-crafted prompts guide AI models to produce accurate relevant and useful responses reducing errors or unwanted results saves Time by minimizing trial and error attempts good promps allow you you to get the desired output faster making workflows more efficient has wide applications prompt engineering is versatile and can be applied across various Industries including customer support crafting promps for chatbots to assist customers effectively content creation generating articles blogs and creative content programming assisting in writing debugging or optimizing code key takeaway prompt
engineering enhances productivity and enables AI to deliverer tailored results making it an indispensable skill in today's AI driven World module 3 brief on llm and chat GPT let's start by understanding what a large language model llm is what is an llm a large language model llm is a type of artificial intelligence AI designed to understand and generate humanlike text these models are trained on massive amounts of text Data such as books articles and websites to learn how language Works using this knowledge llms can perform a variety of tasks such as generating written content answering questions
summarizing information translating languages types of llms there are various types of llms but one key type is the generative llm what is a generative llm generative llms are specialized models capable of creating new text based on the input they receive these models are incredibly powerful for tasks that require creativity and language generation examples of generative llms chat GPT a popular AI chatbot designed to generate humanlike responses for tasks like writing programming answering queries and more Google Gemini a Next Generation llm focused on Advanced language understanding and generation in summary llms especially generative llms like chat
GPT are transforming how we interact with AI by enabling machines to produce high quality human-like text across a wide range of applications here here is a short introduction to chat GPT chat GPT is a chatbot created by open AI company the gpt's part stands for generative pre-trained Transformer which is a type of llm that is good at understanding and generating text module 4 basics of crafting effective prompts in this module we will explore the three main types of prompts that you can use to craft effective instructions for AI models each type serves a specific purpose
and is best suited for different kinds of tasks types of prompts open-ended prompts purpose these prompts are used for Creative or exploratory tasks where you want the AI to generate ideas or elaborate on a topic example describe a futuristic city this prompt allows the AI to explore and generate a wide range of creative responses perfect for brainstorming or generating content instructional prompts purpose instructional prompts give step-by-step directions to the AI guiding it to perform a specific task example write a a list of five healthy breakfast ideas this is a straightforward prompt that guides the AI
to generate a specific structured output ideal for tasks that require clear instructions question prompts purpose question prompts are used when you need specific information or answers to particular queries example what are the benefits of regular exercise this prompt directly asks for factual or detailed information making it perfect for knowledge-based tasks or research queries key takeaway by understanding and using these three types of prompts you can craft more effective instructions that help AI generate more accurate and relevant outputs common mistakes and prompting when crafting prompts it's easy to make mistakes that can lead to vague confusing
or inaccurate results let's explore two common mistakes and how to avoid them being too vague or unclear mistake providing a prompt that lacks sufficient detail or direction making it difficult for the AI to understand what you want example example of a vague prompt write a summary why this is problematic without specifying the topic length or other relevant details the AI May generate a generic summary that doesn't meet your needs instead better prompt write a 100-word summary of the article on climate change by adding more context and Clarity you ensure the AI understands exactly what you
want overloading the prompt mistake trying to pack too many tasks into one prompt which can overwhelm the AI and result in a disorganized or incomplete response example of an overloaded prompt write an essay add examples include jokes and summarize in three sentences why this is problematic the AI might struggle to address multiple requests at once leading to a response that misses the mark better approach break the tasks into separate simpler prompts write an essay on the topic of climate change include two examples to support your points summarize the key points in three sentences by breaking
down tasks you give the AI a clearer structure to follow improving the quality of the output you take away avoid being vague or overloading your prompts clear focused instructions lead to better AI responses and more effective results what makes a good prompt to craft effective prompts there are three key elements you should always consider Clarity be clear about what you want a good prompt is easy to understand leaving no room for confusion make sure the Tas or question is Direct in simple context provide background information if needed if the AI needs additional context to generate
a meaningful response don't hesitate to include it context helps the AI understand the situation or focus on specific aspects of the task specificity mention details like format tone or examples the more specific you are the more precise and useful the output will be you can specify things like word count tone formal or casual or any examples that might guide the the AI example of a poor prompt explain AI this prompt is too vague and leaves the AI with no Direction which could result in an overly broad or generic explanation example of a good prompt explain
AI in simple terms to a 10-year-old in three sentences this prompt is clear provides context explaining to a 10-year-old and specifies the format three sentences it's focused and gives the AI exactly what's needed module five Advanced prompt techniques let's dive into module 5 where we will explore the steps to generate Advanced results from AI tools to set the stage let's begin with a simple analogy analogy think of AI tools as highly knowledgeable assistance they are capable of delivering incredible results but their effectiveness depends on the clarity and precision of your instructions if you explain your
needs in detail specifying the structure and expectations of the output the AI can deliver exactly what you're looking for just like you would guide a human assistant ensure your instructions are clear and concise well organized and structured easy to follow by keeping these principles in mind you can unlock the full potential of AI now let's move on to some actionable steps for crafting Advanced prompts that yield better more accurate results steps for generating greater prompts let's begin with the first and most important step one write clear instructions Clarity is the foundation of a good prompt
when crafting your instructions be specific about what you need leaving no room for confusion the clearer your request the better the response let's understand with an [Music] example with this example you have seen how with clear instruction we can generate a detail summary from a very huge article moving to the next step two provide reference text to help AI generate accurate and contextually relevant responses it's often essential to supply reference text or background information this gives the model the necessary context to understand the task better and align its output with your expectations why is this
important without relevant context the AI might produce generic or incomplete results by including reference text you anchor the AI to the specific details it needs to focus on let's understand with an example and create an Fitness routine using AI [Music] [Music] [Music] three split complex tasks into simpler subtasks when working with AI tackling complex tasks all at once can overwhelm the model and lead to incomplete or disorganized responses instead break down the task into smaller manageable subtasks to ensure Clarity and Precision in the output why is this effective simplifying tasks helps the AI focus on
one specific aspect at a time producing more accurate and detailed responses for each part example overloaded prompt write an essay on climate change include three examples explain its impact on the economy and suggest five Solutions this prompt is too complex and the AI might struggle to cover all the points effectively simplified subt write an introduction about climate change in 100 words list three examples of climate change effects worldwide explain how climate change impacts the global economy in 200 words suggest five actionable solutions to combat climate change by splitting the task each response is focused and
complete making it easier to combine them into a cohesive output for give the model time to think AI models like chat GPT perform better when they are guided to think through a problem step by step by encouraging the model to explain its reasoning before delivering a conclusion you can often achieve more accurate detailed and logical results why does this work when the model processes the task step by step it mimics a thought process that reduces errors and ensures a well structured response example direct prompt solve the math problem a train travels 60 m in 2
hours what is its speed the AI might provide the answer but skip the explanation step-by-step prompt solve the math problem step by step a train travels 60 m in 2 hours calculate the speed by dividing The Distance by the time and explain each step this prompt ensures the AI explains the process giving both the solution and the reasoning behind it another use case for Creative or strategic tasks you can ask the AI to brainstorm or outline its approach before answering list the steps you would take to solve this problem think step by step how would
you plan a marketing strategy for a new product five use external tools while AI models like chat GPT are highly capable combining their abilities with external tools such as calculators databases or apis can significantly enhance accuracy and functionality by leveraging these tools you can perform specialized tasks that AI alone May not handle perfectly why is this important AI models are excellent at generating ideas drafting code or solving problems but when precise calculations real-time data or specific Frameworks are required external tools fill the Gap let's understand with an example by creating a form using external tool
bootstrap [Music] [Music] six test changes systematically crafting the perfect prompt often requires experimentation this step involves tweaking and refining your prompts through a hit and trial method to see what works best for your specific needs systematic testing allows you to uncover the optimal phrasing structure and focus for your task why is this important AI models can interpret instructions in various ways small adjustments to your prompts can drastically improve the relevance and accuracy of the output example using the hit and trial method let's say you want to learn about python a popular programming language here's how
systematic prompt adjustments can refine your results initial prompt explain python revise prompt explain python in three sentences suitable for beginners further revise prompt explain Python's benefits for web development now let's talk about some of the applications of prompt engineering module six applications of prompt engineering prompt engineering is revolutionizing various industries by enabling users to get precise creative and practical outputs let's explore some of the most impactful applications One content creation AI powered prompts are widely used for generating blogs and articles social media posts for platforms like LinkedIn Instagram and Twitter professional documents such as cover
letters or formal applications example prompt write a LinkedIn post about the importance of learning new skills AI can craft engaging professional and audience targeted content in seconds two Education and Training AI can simplify teaching and learning by helping with creating study materials designing quizzes and tests explaining complex Topics in simpler terms example Le prompt explain the concept of photosynthesis to a 10-year-old with a fun analogy this helps make education interactive and tailored to different learning levels three software development and debugging AI excels in assisting developers with writing code Snippets debugging existing code suggesting improvements or
optimizations example prompt debug the following python code for calculating the factorial of a number AI can identify errors and provide Cor Ed code instantly four Healthcare and medical applications AI can Aid in researching common symptoms of illnesses understanding the usage and effects of medicines assisting with Healthcare education warning important note avoid completely relying on AI for medical advice always consult a qualified professional for critical decisions example prompt list the common symptoms of the flu this can provide preliminary information for non-critical queries five creative writing and storytelling from generating poems to crafting stories AI is a
creative companion writers can use AI for brainstorming storylines or characters AI can assist in writing books blogs or screenplays example prompt write a short story about a futuristic city where Ai and humans coexist peacefully six accessibility in Translation AI enhances accessibility by enabling text to speech for visually impaired users language translation for effective communication example prompt translate this paragraph from English to French AI ensures inclusivity by bridging language and accessibility gaps module 7 ethics and best practices and prompt engineering as we harness the power of AI it's crucial to understand the ethical responsibilities that come
with it AI is a tool designed to enhance productivity creativity and problem solving but if misused it can lead to the harmful consequences let's explore the core ethics and best practices every prompt engineer must follow one use AI to enhance productivity ethically leverage AI to support and streamline workflows without unfairly replacing ethical human roles for instance AI can assist in generating ideas or automating repetitive tasks but should not be used to exploit or displace jobs irresponsibly two respect copyrights and intellectual property avoid using prompts like write this copyrighted article in your own words this violates
intellectual property rights and is unethical always ensure that the content you create respects ownership and Licensing Laws three avoid harmful or illegal content steer clear of writing prompts that incourage or generate hateful harmful or discriminatory content illegal or unethical materials AI should be used to promote positive and constructive outcomes four do not rely solely on AI for critical decision decisions AI can provide guidance but should not be the sole source for decisions in sensitive areas such as Healthcare always consult Professionals for medical advice legal matters critical legal decisions require human judgment AI is a support
tool not a replacement for expertise five avoid generating and sharing fake or misleading content promps should not be used to spread misinformation or fake news mislead others intentionally if AI inadvertently generates misleading content cross check the information and avoid sharing it without verification six refrain from generating harmful or dangerous content never use prompts that could lead to outputs involving violence dangerous activities malicious intent AI must be used responsibly to benefit Society not harm it seven verify AI outputs AI generated content may be inaccurate or misleading always review and validate the output before using it cross
referencing with trusted sources is essential to ensure reliability eight protect sensitive and identifiable information avoid entering personal confidential or sensitive information into AI prompts this includes names addresses or contact information business critical or proprietary data this practice helps maintain privacy and data security final note AI is a powerful tool but it comes with responsibilities misuse can lead to unintended consequ consquences while ethical use can drive Innovation collaboration and societal benefits always approach AI with respect for laws privacy and Humanity this concludes our comprehensive tutorial on prompt engineering thank you so much for staying with me
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