Prompt Outline

Outline this text: "The way parenthesis function in a prompt depends on the context in which you're using them.

 Here are two common ways:

1. Emphasis and Weighting (in AI image generation)

In some AI image generation tools, surrounding words with parentheses can affect the weight the model gives to those words. For instance, if you want an image of a cat wearing a hat (primarily a cat, but definitely wearing a hat), you might use a prompt like "a cat (wearing a hat)". The parentheses tell the model to focus on the concept of the cat wearing a hat.

It's important to note that this weighting method isn't universal and may vary depending on the specific tool. Some tools might use different symbols or a numerical system to indicate weighting.

2. Grouping and Clarity

Even if a tool doesn't use parentheses for weighting, they can still be helpful for grouping parts of your prompt and making it easier to read. For example, you might use parentheses to clarify a specific detail:

   "A portrait of a young woman with (long, flowing red hair)"

Here, the parentheses group the details about the hair, making the prompt easier to understand.

Overall, parentheses can be a useful tool for crafting informative prompts, especially when you want to emphasize certain aspects or improve readability.
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 how do square brackets function in a prompt
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The way square brackets function in a prompt depends on the context in which you're using them. Here are two common ways:

   Adjusting weight in image generation prompts: When you're creating prompts for image generation tools like Stable Diffusion or Midjourney, surrounding words with square brackets can affect how much emphasis the AI places on those words in the generated image. Text within square brackets typically receives less emphasis compared to the rest of the prompt.

For instance, if you prompt for a portrait of a cat "[wearing a hat]" the AI might generate an image of a cat, but the hat might be subdued or not very prominent.

   Providing instructions or metadata: In some prompting systems, square brackets are used to provide additional information or instructions to the AI system, separate from the main content of the prompt. This can vary depending on the specific system, but it often allows you to specify things like:

   Variables: You can use square brackets to define variables within the prompt that can be changed or controlled. For instance, the prompt "[animal: cat, dog, bird] running in a field" might allow you to generate images of different animals running in a field by changing the value of the "animal" variable.
   Emphasis (less common): In some systems, square brackets might be used to indicate increased emphasis, but this is less common than using parentheses for emphasis.

It's important to note that the exact way square brackets function can differ depending on the specific prompting system you're using. If you're unsure about how they work in a particular system, it's always a good idea to consult the system's documentation.
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how do quotation marks function in a prompt
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Quotation marks in a prompt can serve two main purposes:

   Indicating Literal Text: When you include quotation marks in a prompt, you're instructing the system to treat the enclosed text literally. This is helpful when you want the system to focus on specific phrases or wording. For instance, if you prompt a chatbot with "What is the capital of France?", it will understand you're looking for the capital and return "Paris". But if you prompt with "What is the meaning of 'Paris'", the response will likely be about the meaning of the word "Paris" itself.

   Including Quotes in the Output: If you want the generated text to contain quoted speech or phrases, you can use quotation marks within the prompt. For example, prompting a story starter with "Write a dialog where a character says 'Hello, world!'" will likely generate a story that begins with that specific quote.

Here's a table summarizing the two functions:
Purpose   Example Prompt   Expected Outcome
Literal Text   Write a summary of the book "Moby Dick".   The system will process "Moby Dick" as the title of a book and search for relevant information.
Including Quotes   Write a poem that mentions the line "Hope is the thing with feathers".   The poem might incorporate the quote from Emily Dickinson's poem.

Remember, how quotation marks function can also depend on the specific system you're using. Some systems might require escaping quotation marks if they appear within the prompt itself (e.g., using a backslash before the quote mark). It's always a good idea to consult the system's documentation for detailed instructions.
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The way functions work within a prompt depends on the context you're referring to. Here are two possible interpretations of your question:


In natural language processing, prompts are used to provide context or instructions for a large language model like me. You can't directly execute functions within these prompts, but you can describe the function's purpose and guide the model to act accordingly.

For instance, you could provide a prompt like: "Write a poem in the style of Shakespeare, where the speaker contemplates the meaning of life." This prompt instructs me to generate text that fulfills specific criteria, even though it doesn't involve an explicit function call.

Let me know if you'd like to explore either of these concepts in more detail, or if you have a different scenario in mind regarding prompts and functions.
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The question mark can function in a prompt in a few ways,

 depending on the context:

   Indicating a question: This is the most common use. A question mark at the end of a prompt signifies that the system is expecting a question as input. For instance, a prompt like "What is your name?" is asking for the user's name.

   Matching a single character: In programming or pattern matching, a question mark can be used as a wildcard to match a single character within a string. For example, the text "Hello, world?" contains the character "?".

   Regular expressions (more advanced): In regular expressions, a question mark can be used for more complex pattern matching. For instance, the pattern \? matches any single character at the end of a string.
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Underlines in prompts typically don't have a built-in function and aren't interpreted by the system itself.

 They are visual cues left by the user to indicate what they want the output to be.

Here are some reasons why someone might underline text in a prompt:

   Emphasis: They want the model to focus on that particular word or phrase when generating the output.
   Specific formatting: They want the underlined text to be formatted in a certain way in the output, such as being bolded, italicized, or underlined (depending on the system's capabilities).

For example, if you prompt a writing assistant with the sentence "Write a story about a courageous knight who fights a dragon," the underline indicates that you want the character "knight" to be central to the story.

Here are some things to keep in mind about underlining in prompts:

   The way you underline text might not be universally understood by all systems.
   Not all systems can interpret formatting instructions within prompts.
   It's generally better to be clear and explicit in your prompts rather than relying solely on underlines.

If you're unsure about how a system interprets underlines, it's always best to consult the system's documentation or try a different way to communicate your desired outcome.
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how does input function in a prompt

The input function in a prompt acts like a bridge between a program and the user. It displays a message, asking the user for some information, and then captures whatever the user types in response. This information is then stored in the program for further use.

Here's a breakdown of how it works:

   Prompt message: The program displays a message on the screen, typically ending with a question mark. This message instructs the user on what kind of information to enter. For instance, the prompt could be "Enter your name:".

   User input: The user types their response into the designated area, following the prompt's instructions. They might type their name, a number, or any other data relevant to the prompt.

   Capturing the input: The program uses the input function to capture what the user has typed. This function essentially reads the user's input and stores it as a variable within the program.

   Using the input: Once the program has captured the user's input, it can use that information for various purposes. It might personalize the experience by addressing the user by name, perform calculations based on a number entered, or use the data for any task it's designed for.

Here are some additional points to consider:

   The input function usually returns the user's input as a string of text by default. If the program needs a number, it might need to convert the input from text to a numerical format.
   Some prompts allow for optional arguments besides the message. These arguments might specify the data type expected (like a number) or provide default values if the user enters nothing.

Overall, the input function is a crucial tool for interactive programs, allowing users to provide data and participate in the program's flow.
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A question in a prompt acts like a guide for a response.

 It gives direction and focus to a language model like me, helping us understand what kind of information you're looking for. Here are some ways questions function in prompts:

   Specifying the Task: A question can tell the model what you want it to do. For instance, the prompt "Write a poem about..." tells the model to generate a poem, while "Write a summary of..." asks for a summary.

   Guiding the Content: Questions can steer the content of the response in a particular direction. For example, the prompt "What are the causes of the French Revolution?" will result in a different response than "Describe the events of the French Revolution."

   Providing Context: Questions can establish context for the model. For instance, the prompt "In the context of climate change, discuss..." helps the model understand the background for the following discussion.

Let's look at an example:

Prompt: What is the capital of France?

This prompt acts as a question itself, but it can also be incorporated into a longer prompt:

Prompt: I'm planning a trip to France. What is the capital city and what are some interesting sights to see there?

The first question narrows down the information to be about France's capital, while the second broadens it to include sightseeing recommendations.

Overall, questions in prompts help refine and focus the model's response to give you exactly what you're looking for.
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There are a couple of ways to get a large language model like me to insert its own word into a prompt:

   Use Brackets or Placeholders: You can provide a prompt with a bracketed section where the model can insert its own word. For example: "Write a limerick that ends with a surprising word. The first line is 'There once was a programmer named Fred.' Here, I would fill in the bracketed section with a word I generate, like:

   There once was a programmer named Fred,
   Whose code always created a dread.
   A bug he'd now fix, (generated word) the result, a big mess,
   Left his users all wanting their money back, instead.

   Conditioning with Previous Output: If your prompt involves a back-and-forth conversation, you can condition the model to use a word it generated earlier in the interaction. For instance, you could start a story prompt and ask the model to continue it, incorporating a specific word it used previously. This can create a more cohesive narrative.

   Fine-Tuning (Advanced): For more advanced users, there's a technique called fine-tuning. This involves training a large language model on a specific dataset that includes prompts where the model inserts its own words. This can be a complex process, but it allows for a high degree of customization.

Here are some additional tips:

   Provide Context: The more context you give the model in the prompt, the better it will be able to choose an appropriate word.
   Start Simple: Begin with a short prompt and gradually increase complexity as you get comfortable.
   Experiment with Different Techniques: Try all three methods mentioned above and see which one works best for your desired outcome.

Remember, large language models are still under development, and their ability to understand and respond to prompts can vary. The more you experiment and provide clear instructions, the better the results you'll achieve.
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There isn't a direct way to instruct Gemini to insert its own unique word into a prompt. However, you can achieve a similar outcome using a few techniques:

   Prompt Engineering: Craft your prompt to nudge Gemini in a specific direction that might lead it to generate a new word. Here's an example:

   Prompt: "Write a story about a fantastical creature with the ability to manipulate time." (This might prompt Gemini to create a unique name for the creature)

   Refine and Iterate: Start with a basic prompt and then guide Gemini towards a more specific outcome through follow-up prompts.

   Prompt: "Write a poem about a flower."
   Follow-up prompt: "Make the flower have unusual properties, and describe it in vivid detail." (This can lead Gemini to invent a unique flower with its own name)

   Use Regenerate or Modify Features (if applicable): If you're using the Gemini web app on desktop, you can leverage its built-in features:

   Write a basic prompt.
   After receiving the response, highlight a section where you'd like Gemini to introduce a new element.
   Use the "Modify selected text" option and provide a prompt within the app to nudge Gemini towards creating a new word.

By using these techniques, you can encourage Gemini to be more creative and potentially introduce new words within your prompts. Remember, the more specific and engaging your prompts are, the better the results you'll get.
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While Gemini can't directly insert its own invented words into prompts, there are ways to encourage it to be more creative and potentially contribute unique elements:

   Provide Context and Examples: The more context you provide in your prompt, the better Gemini understands your desired direction. Include examples of the kind of word or element you'd like it to create. For instance, prompt it to write a poem with a fantastical creature using details about the poem's theme and the fantastical creatures you've encountered in other works.

   Use Open Ended Prompts: Instead of giving strict instructions, frame your prompt as a question or scenario that allows Gemini some room for interpretation. This lets its internal algorithms explore different possibilities and potentially generate something unexpected.

   Leverage Regeneration and Modifying Features: If you have access to the Gemini web app, you can use its regeneration and modification features to nudge the response in a specific direction. After an initial response, highlight a section and use the "Modify selected text" option to suggest a change or prompt it to create a new word within that section.

   Positive Feedback Loop: Pay attention to Gemini's outputs, and if it generates something interesting or unique, point it out! Positive reinforcement helps it understand what kind of creative direction you appreciate.

   Explore Community Resources: There are online communities and forums dedicated to prompt engineering for Gemini. These resources can provide inspiration for creative prompts that might elicit unique responses from the model.

Remember, while Gemini won't invent words out of thin air, by using these techniques, you can encourage it to be more creative and potentially contribute unique elements to your prompts.
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Here are some tips on how to get Gemini to write dialogue in a prompt:

Crafting the Context:

   Set the Scene: Briefly describe the situation where the dialogue takes place. Who are the characters? Where are they? What's happening around them? This context helps Gemini understand the mood and motivations behind the conversation.

   Character Profiles: Give Gemini a basic idea of the characters involved. Are they friends, enemies, strangers? What are their personalities like? Knowing the characters will influence the tone and style of their speech.

Prompting the Dialogue:

   Start with a Situation: Instead of just asking for dialogue, provide a scenario that sparks a conversation. This could be anything from two colleagues discussing a project to a couple arguing about chores.

   Give a Starting Line: Sometimes, all it takes is a single line to get things rolling. Provide an opening line of dialogue for one character, and let Gemini generate the response and continue the conversation.

   Specify the Tone: Do you want the dialogue to be funny, serious, sarcastic, or something else? Specifying the desired tone will help guide Gemini's generation.

Iterate and Refine:

   Prompt Chaining: Break down complex conversations into smaller prompts. Use the output from one prompt as the starting point for the next, allowing you to build the dialogue step by step.

   Feedback Loop: Don't be afraid to provide feedback to Gemini. If the dialogue isn't quite what you envisioned, point out what you don't like and try refining the prompt based on Gemini's initial attempt.

Here's an example:

Prompt:

Two friends, Sarah (optimistic and bubbly) and Michael (sarcastic and dry-witted), are at a coffee shop catching up. Sarah excitedly tells Michael about a new fitness class she's been taking. Write the conversation.

This prompt gives Gemini the context (coffee shop, catching up), character details (optimistic Sarah, sarcastic Michael), and a starting point (fitness class).

By following these tips and experimenting with different prompts, you can get Gemini to generate engaging and natural-sounding dialogue for your creative projects.
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Here's how you can craft a prompt to get Gemini to write a playscript:

1. Genre and Setting:

   Specify the genre (comedy, drama, thriller, etc.) and setting (historical period, futuristic space station, etc.) of your play.

2. Characters:

   Briefly describe the main characters, their motivations, and any relationships between them.

3. Plot:

   Give a one-sentence summary of the central conflict or event that drives the play.

4. Style:

   Mention any specific stylistic elements you want, like a specific tone (lighthearted, suspenseful), or use of humor.

Here's an example prompt:

   Write a one-act comedy play set in a modern-day high school cafeteria. The main character, Maya, a shy aspiring writer, accidentally spills her lunch on the popular jock, Alex. Through a series of misunderstandings and awkward encounters, they discover a surprising connection.

Additional Tips:

   You can also provide references to existing plays or movies for inspiration.
   If you have a specific scene in mind, describe it in detail for Gemini to build upon.
   After the initial generation, don't hesitate to refine the prompt based on the output and ask for revisions.

By providing clear instructions and context, you can use Gemini as a springboard to generate creative and engaging playscripts.
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Here's how you can prompt Gemini to write a multiple-choice test:

1. Provide the Subject and Difficulty:

   Start by clearly stating the subject of the test. For instance, "Write a 10-question multiple-choice quiz on the history of France."
   You can also specify the difficulty level if needed. "Make the quiz appropriate for high school students."

2. Give Context (Optional):

   If you have specific learning objectives or want to focus on a particular aspect of the subject, provide that information. "Focus on the French Revolution and its key figures."

3. Request the Number of Questions:

   Indicate how many questions you want in the quiz. "Generate 15 multiple-choice questions..."

4. Consider Additional Options:

   You can ask for answer explanations for each question. "Include a brief explanation for the correct answer to each question."

Here are some examples of prompts:

   "Create a 5-question multiple-choice quiz on the water cycle for elementary school students."
   "Generate a 20-question multiple-choice test on the human body, with a focus on the nervous system. Make it challenging for college-level biology students."
   "Write a 10-question multiple-choice quiz based on the short story 'The Lottery' by Shirley Jackson. Include answer explanations."

Remember, the more specific your prompt, the better Gemini can tailor the quiz to your needs.
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While Gemini can't write a complete lecture on its own, it can be a helpful tool in crafting your lecture content. Here's how to use prompts to get the most out of Gemini for your teacher lecture:

   Break Down the Lecture:
   Instead of asking for a whole lecture, provide a specific topic within your lecture.

   *Prompt Example: "Can you provide key points and interesting facts about photosynthesis for a high school biology class?"

   Target Learning Objectives:
   Focus on what you want students to learn.

   *Prompt Example: "I'm teaching middle schoolers about fractions. Give me engaging activities to help them understand adding and subtracting fractions."

   Craft Engaging Activities:
   Gemini can brainstorm ideas to make your lecture interactive.

   *Prompt Example: "I need to explain the concept of gravity for elementary school students. Suggest some fun demonstrations I can do in class."

   Find Supporting Resources:
   Ask Gemini to search for relevant articles, images, or videos to supplement your lecture.

   *Prompt Example: "I'm lecturing about the history of the alphabet. Find me some captivating images of ancient writing systems."

   Refine Your Lecture:
   Once you have content, ask Gemini to rephrase it for clarity or suggest transitions between topics.

   *Prompt Example: "This paragraph in my lecture about the water cycle seems confusing. Can you rephrase it for a 5th-grade audience?"

Remember:

   The more specific your prompt, the better the results will be.
   Use Gemini's output as a starting point, but personalize it with your own teaching style and insights.

By incorporating these tips, you can leverage Gemini as a valuable assistant in crafting engaging and informative lectures for your students.
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Here's how you can craft a prompt to get Gemini to write a lecture:

1. Specify the Lecture Topic:

   Be clear and concise about the subject matter.
   Example: "Write a lecture on the history of Jazz music in the United States."

2. Target Audience:

   Let Gemini know who the lecture is for (beginners, advanced students, general audience).
   Example: "Write a lecture on the applications of machine learning, aimed at beginners with no prior knowledge."

3. Lecture Style and Length:

   Do you want a formal or informal lecture?
   Specify the desired length (short overview, in-depth exploration).
   Example: "Write a 30-minute lecture in a formal tone on the causes of the French Revolution."

4. Additional Information (Optional):

   Provide any specific points you want Gemini to cover.
   Include links to relevant sources or data if needed.
   Example: "Write a lecture on the benefits of solar energy. Briefly mention the environmental impact of traditional energy sources. Include statistics on global solar energy production."

Prompt Example:

"Write a one-hour lecture for a college-level biology class on the process of photosynthesis. Explain the role of sunlight, water, and carbon dioxide. Include diagrams and key terminology."

Remember:

   The more specific your prompt, the better the results will be.
   You can refine the output by providing feedback and reiterating your requirements.

By following these tips, you can effectively use Gemini as a tool to generate a draft lecture or talking points.

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Here's how you can craft effective prompts to get Gemini to research a topic:

1. Start with a clear task:

   Tell Gemini exactly what you want it to do with the research. Do you want a summary, analysis, specific information, or different perspectives?
   Use strong action verbs like "summarize," "analyze," "explain," "compare and contrast," or "find the latest research on."

2. Provide context:

   Give Gemini enough background information about the topic. This helps it focus the research and tailor the response to your needs.
   For example, instead of just saying "Tell me about the pyramids," you could say: "Summarize the history of the pyramids, highlighting the major theories about their construction and purpose."

3. Specificity is key:

   The more specific you are, the better the results will be.
   Instead of a broad question like "What is climate change?" you could ask: "Explain the different factors contributing to climate change and their potential impacts on global weather patterns."

Here are some prompt examples to get you started:

   For a summary: "Summarize the key arguments for and against universal basic income."
   For analysis: "Analyze the economic impact of the Industrial Revolution, focusing on both positive and negative consequences."
   For specific information: "Find the latest research on the effectiveness of mindfulness meditation for reducing anxiety."
   For different perspectives: "Compare and contrast the views of different religious traditions on the afterlife."

Bonus Tip:

   You can also use questions to guide Gemini's research: "What are the main challenges facing renewable energy sources? How can these challenges be addressed?"

By following these tips, you can craft prompts that will help Gemini effectively research any topic you're interested in. Remember, the more information you provide, the better Gemini will understand your request and deliver a comprehensive and informative response.

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Gemini can't directly generate graphs within the interface, but you can use prompts to describe the data and tell it what kind of graph you want. Here's how:

   Provide the Data: Clearly describe the data points you want on the graph. This could be a table, a list with labels and values, or an equation you want plotted.

   Specify the Graph Type: Tell Gemini what kind of graph you want. Line graphs, bar charts, scatter plots, and pie charts are all common options.

   Add Optional Details (Optional): For a more refined graph, you can specify additional details like:

   Axis labels (X and Y)
   Title for the graph
   Colors for data points or lines

Here's an example prompt:

   Plot a line graph showing the daily temperature in Seattle for the past week. Label the X-axis "Day" and the Y-axis "Temperature (°F)".

While Gemini won't generate the visual graph itself, it will understand your prompt and might :

   Describe the graph for you
   Provide the data points in a format suitable for plotting in another tool
   Search the web for similar graphs based on your description

Here are some resources that might be helpful:

   Getting Started with Gemini: https://www.promptingguide.ai/models/gemini
   How to Use Google Gemini in Bard: YouTube video on using Gemini with Bard
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Here's how you can get Gemini to summarize text in a prompt:

1. Craft a clear instruction:

   Don't just say "Summarize this." Be specific!
   Examples:
       "Summarize this article in 3 sentences."
       "Give me a one-paragraph overview of this research paper."

2. Provide context (optional):

   The more information you give Gemini, the better it understands what you need.
   Include:
       Background information on the topic (if relevant).
       Why you need the summary (e.g., to get the gist of an article before reading it fully).

3. Focus the summary (optional):

   Need to target specific information? Include keywords or phrases to guide Gemini.
   Example: "Summarize this article, focusing on the sections that discuss climate change solutions."

Here are some prompt examples:

   Short and sweet: "In under 50 words, summarize the key points of this blog post."
   Specific focus: "Summarize this research paper, highlighting the findings related to artificial intelligence."
   Multi-step process:
       Summarize each chapter of this book.
       Then, provide a summary that combines the main ideas from all chapters.

Additional Tips:

   You can use Gemini with various text formats. Paste the text directly into the prompt, or provide a link to an article or document.
   Gemini allows specifying the desired length of the summary.
   Play around with different prompts to see what works best for your needs!

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Here's how to get Gemini to summarize a video using a prompt:

   Go to Gemini's website at https://deepmind.google/technologies/gemini/.
   Paste the link of the video you want summarized. You can copy the link from the address bar of your web browser.
   Craft your prompt to tell Gemini what you want it to do. Here are some effective options:

   Simple Summarization: "Summarize this video." (This will provide a general summary)
   Bullet Point Summary: "Summarize this video in 3 bullet points." (You can specify a different number of points if desired)
   Focus on Specifics: "Summarize the key arguments presented in this video." (Tailor this prompt to highlight the aspect you're interested in)

   Hit enter and Gemini will analyze the video (using available transcripts) and provide you with a summary based on your prompt.

Here are some additional tips:

   Gemini currently works best with YouTube videos.
   Be specific in your prompt for a more focused summary.
   Since Gemini relies on transcripts, it might not be able to summarize videos without them.

I hope this helps!

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There are two ways to get Gemini to summarize a hyperlink in a prompt:

1. Pasting the Link Directly:

   Copy the hyperlink you want summarized.
   Go to the Gemini interface (https://deepmind.google/technologies/gemini/).
   Paste the hyperlink directly into the text box.
   Add a prompt like "Summarize this article" or "Give me the main points of this webpage."
   Hit submit and Gemini will try to summarize the content of the linked webpage.

2. Using Extensions (For Specific Content Types):

   Gemini offers extensions for summarizing specific content types like YouTube videos.
   Make sure the relevant extension (e.g., YouTube) is enabled in your Gemini settings.
   Paste the hyperlink into the text box.
   Gemini will automatically recognize the content type and you might not need an additional prompt (e.g., "Summarize this video" for YouTube).
   Submit the prompt, and Gemini will use the extension to summarize the content.

Note:

   Gemini may not be able to summarize all types of webpages perfectly, especially if they are complex or lack clear structure.

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Here's how to craft a prompt for Gemini to summarize a book:

1. Be clear about what you want:

Instead of a generic "Summarize this book," provide specifics:

   Length: "Summarize [Book Title]
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Outline Here are the different prompts and their functions:

    Parentheses (Grouping and Clarity)
        Group parts of your prompt for easier understanding.
        Example: "A portrait of a young woman with (long, flowing red hair)"
    Square Brackets (Adjusting weight)
        Adjust emphasis on specific words in image generation prompts (Stable Diffusion, Midjourney).
            Words in brackets receive less emphasis.
        Provide instructions or metadata in other prompting systems.
            Define variables, specify functionalities.
        Less common: Increase emphasis (rare).
    Quotation Marks (Indicating Literal Text or Including Quotes)
        Instruct system to treat enclosed text literally.
            Example: Prompting a chatbot with "What is the capital of France?"
        Include quotes within the generated text.
            Example: Prompting a story starter with "Write a dialog where a character says 'Hello, world!'"
    Functions (Not directly applicable in prompts)
        Instruct a large language model to perform a specific task (e.g., write a poem).
        Cannot be directly called within prompts, but describe the function's purpose for guidance.
    Question Mark (Indicating a question, Matching a single character, Regular expressions)
        Most common: Signifies user input is expected.
            Example: "What is your name?"
        Wildcard to match a single character in programming or pattern matching.
            Example: "Hello, world?" (matches "?")
        Complex pattern matching (advanced).
    Underlines (Visual Cue, not interpreted by system)
        Indicate emphasis on a particular word or phrase.
        Formatting instruction (not universally understood).
            May not be interpreted by all systems.
    Input Function (Interactive programs)
        Displays a message asking for user input.
        Captures the user's input and stores it for further use.
    Question in Prompt (Guide for Response)
        Specifies the task (e.g., "Write a poem about...").
        Guides content direction (e.g., "What are the causes...?" vs. "Describe the events...").
        Provides context (e.g., "In the context of climate change...").
    Inserting User-generated Words
        Brackets or placeholders:
            Model fills in the bracketed section with a generated word.
        Conditioning with previous output:
            Use previously generated words to influence the next response.
        Fine-tuning (advanced):
            Train a model on prompts with user-inserted words for high customization.
    Encouraging Creativity
        Craft prompts that nudge the model in a specific direction.
        Refine and iterate prompts for more specific outcomes.
        Utilize "Modify selected text" and "Regenerate" features (if applicable) on Gemini web app.
        Positive feedback loop: Point out interesting or unique outputs to guide the model.
        Explore online communities and resources dedicated to prompt engineering for Gemini.
    Dialogue Writing
        Crafting Context:
            Set the scene, describe characters.
        Prompting the Dialogue:
            Start with a situation or provide a starting line.
            Specify the tone (funny, serious, etc.).
        Iterate and Refine:
            Use prompt chaining to break down complex conversations.
            Provide feedback to refine the dialogue.
    Playscript Writing
        Genre, Setting, Characters, Plot, Style
    Multiple Choice Test Writing
        Subject, Difficulty, Context (optional), Number of Questions, Answer Explanations (optional)
    Lecture Writing
        Break down the lecture into smaller topics.
        Target learning objectives.
        Craft engaging activities.
        Find supporting resources.
        Refine your lecture.
    Lecture by Prompt
        Specify the Lecture Topic.
        Target Audience.
        Lecture Style and Length.
        Additional Information (optional).
    Research Prompts
        Start with a clear task (summarize, analyze, etc.).
        Provide context for focused research.
        Specificity is key for better results.
    Data and Graph Prompts
        Clearly describe the data points.
        Specify the Graph Type (line, bar, etc.).
        Optional details: Axis labels, Title, Colors.
    Summarizing Text
        Craft a clear instruction (length, focus).
        Provide context (optional).
        Focus the summary (optional).
    Summarizing Videos

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 Certainly! Here's more information on prompts and their functionalities:

Advanced Prompting Techniques:

    Meta-prompting: This involves using prompts to control how a large language model (LLM) interprets subsequent prompts. For instance, you could use a meta-prompt to instruct the LLM to prioritize factual accuracy or creative exploration.
    Temperature: In some LLMs, temperature controls the randomness of the generated text. A higher temperature leads to more creative but potentially nonsensical outputs, while a lower temperature results in safer but potentially repetitive text.
    Top-k Sampling: This technique restricts the LLM to consider only the top k most likely words at each step, leading to more focused and coherent outputs.
    Prompt Chaining: This involves breaking down a complex task into smaller, more manageable prompts. For example, you could use prompt chaining to write a story in multiple steps, starting with the setting and characters, then crafting dialogue and plot points.

Prompt Engineering Resources:

    Online communities dedicated to prompt engineering for specific LLMs can be a valuable resource. These communities often share best practices, successful prompts, and insights into different models' capabilities.
    Explore tutorials and guides on prompt engineering. These resources can provide valuable tips and tricks for crafting effective prompts for various tasks.

Additional Prompt Examples:

    Style Transfer: Use prompts to mimic the style of a particular artist or genre.
        Example: "Paint a landscape in the style of Van Gogh..."
    Conditional Text Generation: Generate different creative text formats based on conditions.
        Example: "If it's raining, write a poem about longing. If it's sunny, write a poem about joy."
    Code Generation: Prompt the LLM to generate code based on your specifications.
        Example: "Write a Python function that calculates the area of a circle..." (Note: This functionality may be limited depending on the LLM)

By understanding these advanced techniques and utilizing available resources, you can become a more adept prompt engineer and unlock the full potential of large language models.