Chatgpt Prompts For Quotes

In the wake of the generative content era, using AI to generate content for clients may seem convenient, but it is not a sustainable long-term strategy. Clients can easily access similar AI tools themselves. Instead, focus on leveraging artificial intelligence to enhance your creativity, streamline processes, and provide personalized value to your clients. With this, you are several yards ahead of the packs out there and your result will be massive.

[All] modern chatbots are actually trained simply to predict the next word in a sequence of words. They generate text by repeatedly producing one word at a time. For technical reasons, they generate a “token” at a time, tokens being chunks of words that are shorter than words but longer than individual letters. They string these tokens together to generate text. When a chatbot begins to respond to you, it has no coherent picture of the overall response it’s about to produce. It instead performs an absurdly large number of calculations to determine what the first word in the response should be. After it has output—say, a hundred words—it decides what word would make the most sense given your prompt together with the first hundred words that it has generated so far. This is, of course, a way of producing text that’s utterly unlike human speech. Even when we understand perfectly well how and why a chatbot works, it can remain mind-boggling that it works at all. Again, we cannot stress enough how computationally expensive all this is. To generate a single token—part of a word—ChatGPT has to perform roughly a trillion arithmetic operations. If you asked it to generate a poem that ended up having about a thousand tokens (i.e., a few hundred words), it would have required about a quadrillion calculations—a million billion.

apply a framework. Drawing inspiration from the book 'Clockwork,' we asked ChatGPT-the-business-coach to provide advice using the framework, and it astutely incorporated principles from the book into an actionable plan for expanding our company.

The key to getting the best results from these tools is to write a good prompt. You want to give the tool enough information and context so that it can generate something useful and relevant to what you’re looking for. Trust me, it makes all the difference, and

Pre-Training Phase The first phase, pre-training, is an essential step in training ChatGPT. During pre-training, the model learns from a large amount of text data from the internet. It's like feeding the model with a rich buffet of information, allowing it to absorb and understand the patterns and structures of human language. We have the supervised and non-supervised pre-training approach. The main objective of a supervised training approach is to train the model to understand and accurately map inputs to corresponding outputs. It's important to know the limitations of this approach regarding scalability. The reliance on human trainers

Evaluating Prompt Performance: Measuring the success of your prompts is vital; to do that, you need to establish clear evaluation criteria and performance metrics. Consider factors like the relevance and coherence of the generated output, the accuracy of the information provided, and how satisfied you are with the results. When you assess the prompt performance quantitatively and qualitatively, you can pinpoint areas for improvement and further refine your prompt engineering process.

Contextualization Equation: Introducing a specific context to your inquiries helps ChatGPT understand the background of your question to generate more accurate responses. Example: Incorporate historical context to dive into the impact of cultural movements on artistic expression. Precision Formula: Narrowing the scope of your question guides ChatGPT's responses to be more targeted and specific. This results in a deeper analysis of the desired area of study. Example: Focus on Company XY's financial metrics to gain an understanding of their net profit.

We collaborated with dogs for hunting, horses for transportation, and various plants and animals for food. A new collaborator is entering the scene: AI. The evolution of human-AI collaboration marks a significant milestone in our history, shaping our future and how we understand ourselves as a species.

Ejemplo de Prompt: "Estoy buscando grupos de LinkedIn que se centren en la industria de marketing. ¿Me puedes sugerir algunos grupos que deba considerar unirme?".

The first principle is that you must not fool yourself, and you are the easiest person to fool.’ By relying solely on AI-generated answers without understanding the reasoning behind them, we run the risk of fooling ourselves and accepting information without scrutiny.

PROMPTS FOR WRITING RESUMES AND BIOS Generate a compelling professional summary for a marketing manager with 5 years of experience. Create a list of 10 action verbs to effectively describe accomplishments in a resume. Draft a LinkedIn bio for a recent college graduate with a degree in computer science. Suggest 5 resume formatting tips to create a visually appealing and easy-to-read document. Write an engaging personal bio for a freelance graphic designer’s website. How can transferable skills be effectively showcased in a career change resume? Create a list of 5 questions to ask a client before writing their resume or bio. Develop a powerful resume objective statement for a sales professional targeting a managerial role. Provide tips for optimizing a LinkedIn profile to increase visibility and attract recruiters. Write an attention-grabbing personal

Explain the concept of machine learning in simple terms for a high school student." ●        For a response with a specific tone, indicate it in the prompt: "Write a humorous explanation of how photosynthesis works." Layered Prompting Technique The layered prompting technique involves breaking down complex questions into smaller, more manageable parts and feeding them to ChatGPT in a sequence, which can lead to more coherent and accurate responses. ●        Instead of asking "What is the best way to train for a marathon?" which is a complex question, you can break it down into smaller parts, such as "What are some good warm-up exercises for marathon training?" and "What's a good running schedule for marathon training?" By feeding these prompts to ChatGPT in sequence, you can get more detailed and

you can ask it to create an outline (which you can later use to generate the whole blog - I’ll show this in the next example) Prompt: Write a 7-paragraph outline for a blog post with the title "The Legalities of Drone Flying: Understanding FAA Regulations and Best Practices

Now using the blog outline above, we can ask it to generate a full blog post. It’s important to structure it like this rather than asking it to create it in one go since you can then easily restructure the blog as you see fit and allow the AI to form a more coherent structure. Prompt: Use the above outline to create an in-depth detailed blog post with SEO already applied.

Write a blog post on [topic] that is structured and easy to read. Begin with a clear and concise introduction that sets the tone and provides context for the topic. Use headings, subheadings, and clear paragraphs to organize and illustrate the content, making sure that the final product is organized and easy to follow. In the body of the post, make sure that each section is clearly defined and contributes to the overall message of the post. Consider the readability of the final product by using clear and concise language, while avoiding jargon or overly complex terminology. Finally, include a clear and concise conclusion that summarizes your main points and reinforces the importance of your argument. Repurposing a Blog Post for Different Audiences Description: This prompt will guide you in repurposing a blog post on the topic of your choice for a different target audience.

You finally pull up the website (chat.openai.com

ChatGPT for Fiction Writing. So if you are

Prompt: Give me 5 blog post ideas for high search volume and low competition keywords for drones.

ChatGPT is able to analyze user input and improve its responses based on past conversations.

Prompt: I want you to act as an advertising agency. You will create a full and detailed marketing campaign to promote a product or service of your choice. You will choose a target audience, develop key messages and slogans, select the media channels for promotion, and decide on any additional activities needed to reach your goals. Give examples of the cost of advertising in each social media channel, as well as the best estimate of CPM and CPC charges. My first request is "I need help creating an advertising campaign for a new type of energy drink targeting young adults aged 18-30.

on your target market and marketplace to optimize sales.  Prompt:  If I want to list this ebook on amazon, can you give me a price point that will maximise the number of sales based on my target audience? ChatGPT Response: Pricing your ebook on Amazon can be a tricky task, as it depends on various factors such as your target audience, competition, and the value that your book offers. However, generally speaking, a lower price point is more likely to result in more sales, as it will make your book more accessible to a wider range of readers. For a non-fiction ebook such as "Unplugged: The Ultimate Guide to Digital Detoxing and Finding Peace in the Modern World", a price point of $2.99 to $4.99 is considered competitive and will likely maximize the number of sales. This price range positions your book competitively against similar books while still being affordable for most readers. It's also important to note that you can change the price of your book from time to time, for example, you can offer discounts or promotions to boost sales, or you can raise the price if you feel it's undervalued. Additionally, you can also offer the book for free for a limited

Las instrucciones que damos a un chatbot para que realice determinada tarea se llaman prompts.

Another 2023 study prompted patients to ask online medical advice from ChatGPT and human doctors, without knowing whom they were interacting with. The medical advice given by ChatGPT was later evaluated by experts to be more accurate and appropriate than the advice given by the humans.

Writing is still about us, our ideas, and our stories, even when our tools change.

Data is Power (Sonnet) Coming from a childhood passion for electronics, initially I fostered a favorable outlook on Artificial Intelligence, but as further implications are beginning to unfold, I'm developing an ominous distaste. There is no question about the computational capacities of AI, but humans are not equipped to fathom, how to apply such power positively. Then there is the question of instant garbage generated by lazy prompts, passed as creativity. It took 3 years of sweat and vision for Michelangelo to sculpt David, today AGI can do that in mere hours. Does such instant cosmetic art have any value! AI art is just fancy knockoff. Human mind seeks understanding, AI seeks data - lots and lots of data. AI's hunger for data is matched only by the billionaire's hunger for power. How much power is enough power, particularly now when data is power! What's the point of power and data, if they just empower criminal behavior!

Aristotle's four causes: Material Cause, Formal Cause, Efficient Cause, and Final Cause. Aristotle's four causes provide a framework for understanding how and why things exist or come into being.

Another 2023 study prompted patients to ask online medical advice from ChatGPT and human doctors, without knowing whom they were interacting with. The medical advice given by ChatGPT was later evaluated by experts to be more accurate and appropriate than the advice given by the humans. More crucially for the issue of emotional intelligence, the patients themselves evaluated ChatGPT as more empathic than the human doctors.

Ask your favorite generative AI system (such as ChatGPT, Claude, or Gemini), “What is the future of marketing?” or any similar prompt. Take note of its response. Then, ask it a related question, like “How will AI influence that future?” and close your session. Next, start a new session and ask it to summarize your earlier conversation. Watch as the AI struggles to connect the dots. Expect inconsistencies, as the AI doesn’t truly “remember” or build persistent logic across sessions. This reveals its fragmented nature.