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The course includes 13 lectures and 2 hours of content, accessible 24/7 for a lifetime. This means you can learn at your own pace, whenever and wherever you want. The curriculum covers the basics of chatGPT, its user interface, and the art of writing effective prompts. It offers hands-on experience with the OpenAI Playground and teaches prompt engineering. The course also covers practical applications of chatGPT in handling and synthesizing data.
Key Features of the Course
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The course also teaches how to use chatGPT for simplifying complex datasets, translating text, summarizing videos, and proofreading written material. You’ll also learn how to use chatGPT as a creative tool and for drafting professional emails, analyzing text, and serving as a personal travel assistant.
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This guide is designed to show you how to create the perfect ChatGPT prompt formula, there are a number of different things that you can do to improve chatGPT responses by improving your prompts.
The art of interacting with ChatGPT, or any other sophisticated language model, lies in mastering the craft of prompt formulation. Crafting the ideal prompt can be the difference between receiving a generic response and obtaining a highly nuanced, tailored answer. In this guide, we’ll delve into the intricacies of creating the perfect ChatGPT prompt formula to maximize your interactions.
Understanding the Underlying Mechanism
Before we dive into the art of prompt crafting, it’s crucial to have a basic understanding of how ChatGPT operates. ChatGPT is an autoregressive model, meaning it generates responses token by token, based on the information provided in the prompt and its extensive training data. The more explicit and clear your prompt, the better the model can generate a response tailored to your needs.
Begin with a Clear Objective
The first step in crafting an effective prompt is to have a clear objective in mind. Are you seeking a concise answer, a detailed explanation, or perhaps a creative story? Your desired outcome should shape the structure and content of your prompt. For instance, if you’re looking for a brief summary, you might start your prompt with “In a few sentences, explain…”.
Be Explicit and Specific
General or ambiguous prompts can lead to generic responses. If you’re looking for information about a niche topic or a specific aspect of a broader subject, be sure to specify that in your prompt. For instance, instead of asking, “Tell me about apples,” you might say, “Describe the nutritional benefits of Granny Smith apples in comparison to Red Delicious.”
Utilize Open-ended Questions
Open-ended questions can elicit more detailed and comprehensive responses. Instead of asking, “Is X better than Y?”, consider phrasing your query as, “What are the advantages and disadvantages of X compared to Y?”
Guide the Model’s Tone and Style
You can steer ChatGPT’s response style by setting a tone in your prompt. For instance, if you’re looking for a humorous take on a topic, you might begin with, “In a light-hearted manner, explain…”. Conversely, for a more scholarly tone, you could prompt, “Provide a detailed academic analysis of…”.
Experiment with System Instructions
System instructions are high-level directives that guide the model’s behavior. For example, you might include an instruction like, “You are a 19th-century historian,” to obtain a response in a specific historical context. These instructions can be a powerful tool to tailor the model’s perspective.
Account for Potential Biases
While ChatGPT is designed to be as neutral as possible, no model is entirely free from biases. Being aware of potential biases and framing your prompts to mitigate them can lead to more balanced and accurate responses.
Iterative Prompting
Don’t be afraid to engage in a back-and-forth with the model. If the initial response isn’t quite what you’re looking for, refine your prompt and ask follow-up questions. This iterative process can hone in on the exact information or style you’re seeking.
Use Contextual Information Sparingly
While it can be tempting to provide extensive background information, remember that ChatGPT operates best with concise, direct prompts. If you find yourself writing a lengthy prompt, consider breaking it up into multiple interactions or refining your question to be more direct.
Stay Updated on Model Iterations
ChatGPT and similar models are continually evolving. Staying updated on the latest versions and their capabilities can help you craft even more effective prompts over time.
Summary
Crafting the perfect ChatGPT prompt is both an art and a science. With a clear objective, explicit details, and a touch of creativity, you can maximize the potential of your interactions with this powerful language model. As with any skill, practice makes perfect, so don’t be afraid to experiment and refine your approach over time.
We hope that you find our guide on how to create the perfect ChatGPT promptformula helpful and informative, if you have any comments, suggestions, or questions, please let us know in the comments section below.
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This guide will show you how you can create the perfect Google Bard prompt formula. Google Bard is a powerful new language model from Google AI that can be used for a wide variety of tasks, including generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way. However, to get the best results from Bard, it is important to know how to craft the perfect prompt.
In this guide, we will walk you through the process of creating the perfect Google Bard prompt formula, step by step. We will also provide examples and tips to help you get started.
Clearly articulate the task
The first step is to clearly articulate the task that you want Bard to perform. What do you want Bard to generate, translate, write, or answer? Be as specific as possible.
For example, instead of saying “Write a poem,” you could say “Write a poem about a cat in the style of William Shakespeare.” Or, instead of saying “Translate this sentence into French,” you could say “Translate this sentence into French: ‘I love to eat baguettes.’”
Provide context
Once you have clearly articulated the task, you need to provide Bard with enough context to complete it successfully. This may include providing Bard with information about the topic, the audience, or the desired tone of voice.
For example, if you are asking Bard to write a blog post about a new product, you should provide Bard with information about the product, its features, and its target audience. You may also want to specify the tone of voice that you want Bard to use, such as informative, conversational, or persuasive.
Provide exemplars
If possible, it is helpful to provide Bard with exemplars of the type of output that you are looking for. This can help Bard to better understand your expectations and to generate output that meets your needs.
For example, if you are asking Bard to write a poem in the style of William Shakespeare, you could provide Bard with some examples of Shakespeare’s poetry. Or, if you are asking Bard to translate a sentence into French, you could provide Bard with some examples of translated sentences.
Specify the persona
If you want Bard to generate output from a specific persona, you need to specify that persona in your prompt. This can include specifying the age, gender, occupation, and personality of the persona.
For example, if you want Bard to write a blog post from the perspective of a CEO, you should specify that persona in your prompt. You may also want to provide Bard with additional information about the CEO, such as their background, their industry, and their company’s mission.
Direct the output format
If you want Bard to generate output in a specific format, you need to direct the output format in your prompt. This may include specifying the length of the output, the type of content (e.g., poem, code, script), or the desired style (e.g., formal, informal, conversational).
For example, if you want Bard to generate a 1000-word blog post about a new product, you should specify that in your prompt. You may also want to specify the type of content that you want Bard to generate (e.g., a product review, a how-to guide, or a comparison article).
Use correct spelling and grammar
It is important to use correct spelling and grammar in your prompts. By paying meticulous attention to these details, you greatly enhance the ability of Bard to comprehend your requests more effectively. In turn, this diligent practice will result in Bard producing outputs that not only meet but often exceed the desired level of quality.
Here are some additional tips for crafting the perfect Google Bard prompt:
Be as specific as possible. The more specific you are in your prompt, the better Bard will be able to understand your needs and generate the desired output.
Provide context. Bard needs to understand the context of your request in order to generate the best possible output. Provide Bard with as much context as possible, including the topic, the audience, and the desired tone of voice.
Provide exemplars. If possible, provide Bard with exemplars of the type of output that you are looking for. This will help Bard to better understand your expectations and to generate output that meets your needs.
Specify the persona. If you want Bard to generate output from a specific persona, you need to specify that persona in your prompt. This can help Bard to generate output that is more authentic and engaging.
Direct the output format. If you want Bard to generate output in a specific format, you need to direct the output format in your prompt. This may include specifying the length of the output, the type of content, or the desired style.
Use correct spelling and grammar. It is important to use correct spelling and grammar in your prompts. This will help Bard to better understand your requests and to generate output that is high quality.
By following the tips in this guide, you will be able to craft the perfect Google Bard prompt formula. This will help you to get the most out of Bard and to generate high-quality output that meets your needs.
Remember, the more specific you are in your prompt, the better Bard will be able to understand your needs and generate the desired output. Provide Bard with as much context as possible, including the topic, the audience, and the desired tone of voice. If possible, provide Bard with exemplars of the type of output that you are looking for. Specify the persona if you want Bard to generate output from a specific persona. Direct the output format if you want Bard to generate output in a specific format. And finally, use correct spelling and grammar in your prompts.
With a little practice, you will be able to create Google Bard prompts that generate the outputs you need and want. We hope that you find out guide on how to create the perfect Google Bard prompt formula helpful, if you have any comments, tips or questions, please leave a comment below and let us know. You can find out more details about Google Bard over at the official website.
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AI artist Thaeyne has carried out a variety of experiments using prompts in different ways to create a variety of different results. Allowing you to learn more about how Midjourney prompts can be used to create a variety of different results from similar words. The experiment also explored the impact of removing spaces between words in the prompt. It was found that doing so resulted in significantly different outcomes, leading to the theory that Midjourney assigns importance to each word based on the spaces or other separators. This suggests that the AI may interpret a prompt as a series of separate words rather than a single, cohesive phrase.
Another parameter that can be manipulated in Midjourney is the speed at which the AI generates the image. Users can choose between fast, relax, and turbo modes, each offering a different balance between speed and detail. The use of the SL shorten command to assign importance to words was another aspect of the experiment. This command allows users to specify which words they want the AI to focus on, potentially influencing the final result. However, the impact of this command on the generated images was not explicitly discussed in the experiment.
Does prompt word order matter in Midjourney?
The influence of word order in the prompt was also examined. The experiment involved changing the order of the words in the prompts, but the differences in the resulting images were minimal. However, when the experiment was repeated with longer prompts using the SL describe feature on an image, it was found that the order of words had a bigger impact. This suggests that the AI may assign more importance to the first few words in a longer prompt.
The experiment also delved into the impact of removing spaces between words in the prompt. It was found that doing so resulted in significantly different outcomes, leading to the theory that Midjourney assigns importance to each word based on the spaces or other separators. This suggests that the AI may interpret a prompt as a series of separate words rather than a single, cohesive phrase.
Previous articles we have written that you might be interested in on the subject of AI art generators:
The experimentation also looked at the impact of longer prompts and phrases like “in the style of“. It was concluded that such phrases may not have much impact and could potentially dilute the importance of other words in the prompt. This suggests that users may need to be careful with their word choice and order when using longer prompts.
Tips and tricks for AI art creation
Other tips and tricks and things to consider when writing prompts for AI art generator is such as Midjourney. Now that OpenAI has rolled out its DallE 3 to its ChatGPT service. Users can enter more text based prompts specifically asking for an exact image to be created in a certain format. Whereas Midjourney requires little more precision and the use of parameters to create AI art to your required brief.
Understanding the AI
Model-Specific Keywords: Research the specific model you are using and determine if it responds well to certain keywords or structures.
Clarity and Specificity
Clear Descriptions: Use explicit and straightforward language to describe the visual elements you want.
Include Composition Details: Outline where elements should be located, their orientation, and their relationship to each other.
Experimentation
Iterative Testing: Run smaller tests to fine-tune your prompt. This helps in understanding how slight variations can yield dramatically different results.
Multiple Keywords: Use different synonyms or related terms in your prompt to explore a range of outputs.
Constraints and Limitations
Set Boundaries: Clearly state what you don’t want in the generated art, this could be as important as stating what you do want.
Abstraction and Literalism
Level of Detail: Specify the degree of abstraction or realism you are aiming for.
Emotional and Conceptual Tone
Mood or Atmosphere: Include words that capture the emotion or atmosphere you’re aiming to evoke.
Evaluation and Iteration
Quality Metrics: If possible, set some criteria to evaluate the effectiveness of different prompts.
Feedback Loop: Use the results to refine future prompts, incorporating what you learn to improve output over time.
While the Midjourney AI art generator offers a wide range of parameters for users to experiment with, the impact of these parameters can vary. Factors such as the use of seed numbers, the speed of image generation, the presence of spaces between words, and the order of words in the prompt can all influence the final result. However, the extent of this influence can depend on the specific prompt and the length of the prompt. As such, users are encouraged to experiment with different settings and prompts to find what works best for them.
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This guide will show you a ChatGPT prompt formula that is designed to help you get the most out of ChatGPT. In the rapidly changing and increasingly sophisticated world of conversational artificial intelligence, the caliber of the user experience is often directly correlated with the quality of the prompts that you input into the system.
A newly released video that delves into the intricacies of ChatGPT’s capabilities has illuminated this vital facet of AI interaction. The video introduces a robust and well-thought-out model specifically designed for the creation of effective and targeted prompts. Known as the CEDO Process, this innovative framework has the potential to serve as the ultimate formula for generating ChatGPT prompts that consistently produce outputs of exceptional quality.
The Importance of Prompt Engineering
Before diving into the CEDO model, it’s essential to understand the foundational principle that “garbage in, garbage out” applies to conversational AI as much as it does to any data-driven system. The video emphasizes that the quality of the prompt you provide will directly impact the quality of the output. This is where the CEDO Process comes into play, serving as a guide to elevate your prompts from mere questions to well-crafted queries that elicit insightful and relevant responses.
Unpacking the CEDO Process
The CEDO model stands for Context, Expert Persona, Task, and Output. Each component serves a specific purpose in crafting a prompt that will guide the AI to generate the most effective and targeted response.
Context
This is where you explain why you’re asking for something. Providing context can include details like the target audience or specific metrics you’re interested in. For instance, if you’re a marketer looking to understand consumer behavior, your context could be “for a report on Gen Z shopping habits.”
Expert Persona
Here, you specify the role or expertise level you want the AI to assume. This could range from a casual tone to a professional or academic one. For example, you might ask Jet GPT to assume the persona of a financial analyst when inquiring about stock market trends.
Task
This part clearly states what you want the AI to do. Whether it’s generating a poem, summarizing a research paper, or creating a content plan, being explicit about the task ensures that the AI understands your request.
Output
Finally, you specify how you want the information presented. This could involve setting parameters for length, format, or even the style of the output. For example, you might request a summary in bullet-point form or a detailed essay.
The Power of Follow-Up Prompts
The video also discusses the importance of follow-up prompts. These are context-aware queries that build upon the initial conversation, helping to refine and focus the output. For instance, if your initial prompt was about generating a content plan, a follow-up could be, “Can you break down the plan into weekly tasks?”
Iterative Process for Continuous Improvement
Prompt crafting is not a one-off task but an iterative process. The video suggests a method of answering questions and making adjustments to improve the prompt’s effectiveness over time. This iterative approach ensures that you’re continually refining your prompts for better results.
Practical Examples and Meta-Prompts
Throughout the video, practical examples such as writing a LinkedIn post or generating a content plan for a blog are used to demonstrate each concept. Towards the end, the video introduces a fascinating concept: the “prompt generating prompt.” This is a meta-prompt designed to help create a highly tailored prompt for specific needs, adding another layer of customization to the process.
Summary
The CEDO Process, along with the strategies for follow-up and iterative improvement, offers a comprehensive guide for crafting effective ChatGPT prompts. As conversational AI continues to advance, understanding and applying these principles could be the key to unlocking its full potential. Could this be the perfect ChatGPT prompt formula? The evidence certainly points in that direction. We hope that you find this guide helpful and informative, please leave a comment below and let us know.
Image Credit: Rolf van Root
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If you would like to learn more about the differences between OpenAI’s latest AI art generator and the well-established Midjourney AI art creator. You are sure to enjoy this quick overview video which uses 20 different DallE 3 vs Midjourney prompts to compare the differences between the two AI artists. As you would expect both perform very well but certain tasks are performed better in certain circumstances by one or the other.
As you probably already know both have demonstrated remarkable abilities in interpreting and generating images based on prompts, but they each have their unique strengths and weaknesses. This article will delve into a comprehensive comparison of these two AI art generators, examining their interpretation of various prompts, the quality, creativity, and accuracy of the generated images, and their understanding of the prompts.
DallE 3, currently available for free via Bing Image Creator, and Midjourney AI were put to the test using over 20 prompts, ranging from simple three-word prompts to more complex ones. The goal was to evaluate their performance and understanding of the prompts.
DallE 3 vs Midjourney
For the first prompt, “Ahsoka Star Wars”, DallE 3 produced images that accurately represented the character, while Midjourney leaned towards more artistic interpretations. This trend continued with the prompt “GPU”, where DallE 3 produced accurate representations of a graphics card, while Midjourney opted for more creative interpretations.
Other articles you may find of interest on the subject of DallE 3 and Midjourney
When the two concepts of Ahsoka and a GPU were combined, DallE 3 incorporated Ahsoka’s image into tech products, while Midjourney focused more on images of Ahsoka without the GPU element. This suggests that DallE 3 has a stronger ability to combine disparate concepts into a single image, while Midjourney tends to focus on one element of the prompt.
The prompt “The Hulk driving a car” saw DallE 3 producing images that accurately represented the prompt, while Midjourney’s images were more in line with the Hulk’s typical angry demeanor. Similarly, for a “Hulk theme PC”, DallE 3 produced images of PCs with the Hulk inside, while Midjourney produced images of PCs with a Hulk theme.
DallE 3
Pros:
Accurate Interpretations: Produces images that closely align with the given prompts, especially for factual or technical subjects.
Combination of Concepts: Effective at merging multiple elements from a prompt into a single coherent image.
Factual Understanding: Capable of generating images that represent factual information, like the capital building for the United States.
Broad Range: Versatile in handling both simple and complex prompts.
Free Availability: Available for free via Bing Image Creator.
Cons:
Less Artistic: Tends to focus on literal interpretations, potentially limiting creativity.
Style Limitations: May not be as effective for highly artistic or abstract concepts compared to Midjourney.
Midjourney AI
Pros:
Artistic Interpretations: Excels at generating images that are more artistic or abstract.
Creative Prompts: Particularly strong with complex and artistic prompts, like “a cyberpunk cowboy in the style of colorful fantasy realism.”
Emotional Nuance: Can produce images that reflect the mood or emotion implied by the prompt, like the Hulk’s angry demeanor.
Cons:
Less Accurate: May not produce as accurate representations for factual or technical prompts.
Single-Element Focus: Less effective at combining multiple elements or concepts from a prompt into a single image.
Complex Prompts: May struggle with prompts that require the combination of disparate or contrasting concepts, like “a robot with half the body made from old technology and the other half made from new technology.”
Complex prompt comparison
For more complex prompts, such as a spaceship gliding past a purple nebula, DallE 3 again produced images that accurately represented the prompt, while Midjourney leaned towards more artistic interpretations. This pattern was also observed with the prompt “a panda wearing a suit about to dunk a basketball”. Interestingly, when asked “what is the capital of the United States”, both DallE 3 and Midjourney produced images of the capital building in Washington DC, demonstrating their ability to interpret and respond to factual prompts.
For the prompt “a schematic of Star Wars X-Wing”, DallE 3 produced accurate schematics, while Midjourney produced more artistic interpretations. This suggests that DallE 3 may be better suited for technical or factual prompts, while Midjourney may excel at more creative or abstract prompts. When asked “what has two wheels and moves”, both DallE 3 and Midjourney produced images of bikes, demonstrating their ability to interpret and respond to simple, straightforward prompts.
Artistic prompts
For more complex and artistic prompts, such as “a cyberpunk cowboy in the style of colorful fantasy realism post-apocalyptic landscape cartel core bold graphics illustration nostalgia core intense emotion low angle”, Midjourney produced more artistic interpretations, while DallE 3 produced images that accurately represented the prompt.
For the prompt “a robot with half the body made from old technology and the other half made from new technology”, DallE 3 produced images that accurately represented the prompt, while Midjourney did not understand the assignment. This suggests that DallE 3 may have a better understanding of complex prompts that involve combining disparate concepts.
While both DallE 3 and Midjourney AI have demonstrated remarkable abilities in interpreting and generating images based on prompts, they each have their unique strengths. DallE 3 appears to excel at understanding and accurately representing prompts, particularly those that involve combining disparate concepts or require a factual response. On the other hand, Midjourney AI shines in producing more artistic interpretations, particularly for more creative or abstract prompts. As AI technology continues to evolve, it will be interesting to see how these two AI art generators continue to develop and refine their abilities.
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