Understanding AI Prompting: How AI Interprets Your Requests
Overview
In this video, the speaker delves into the mechanics of how AI interprets prompts, highlighting that AI processes language through mathematical patterns rather than human-like understanding. The discussion includes effective strategies for crafting prompts to achieve better results from AI models, which are also explored in detail in Mastering Prompting in Stable Diffusion: Tips and Tricks.
Key Points
- AI Perception: Unlike humans, AI does not visualize words or images; it converts prompts into numerical representations and analyzes patterns.
- Prompt Engineering: The art of crafting prompts is crucial for getting desired outputs from AI. Key techniques include:
- Clarity and Directness: Avoid unnecessary fluff; be straightforward in your requests.
- Descriptive Language: Provide detailed descriptions to minimize ambiguity and enhance the AI's understanding.
- Context and Specificity: Specify the audience, tone, and structure to guide the AI's response effectively. For more insights on this, refer to Understanding Generative AI: Concepts, Models, and Applications.
- Iterative Prompting: Start with a broad prompt and refine it step by step to achieve the desired output.
- Negative Prompting: Specify what to avoid in your prompts to filter out unwanted elements.
- Image Generation: When prompting for images, focus on clear descriptions of the subject, context, and desired style. Techniques for this can be found in Unlocking Creation: How to Make Videos with Nvidia AI for Beginners.
- Resolution and Quality: Understand the importance of resolution settings for images, especially for print quality.
Conclusion
The video emphasizes that effective prompting is about clear communication with AI, allowing it to produce outputs that align closely with user expectations. By applying these techniques, users can significantly enhance their interactions with AI tools, similar to the insights shared in 掌握ChatGPT与Google Bard的提示语技巧.
FAQs
-
What is prompt engineering?
Prompt engineering is the process of crafting effective prompts to guide AI in generating desired outputs. -
How does AI understand prompts?
AI interprets prompts by converting words into numerical representations and analyzing patterns rather than visualizing them like humans do. -
What are some tips for effective prompting?
Be clear, descriptive, and specific; avoid unnecessary words; and provide context to guide the AI's response. -
What is negative prompting?
Negative prompting involves specifying elements to avoid in your prompts to refine the AI's output. -
How can I improve image generation prompts?
Focus on clear descriptions of the subject, context, and desired style, and consider resolution settings for quality. -
What is iterative prompting?
Iterative prompting is the practice of refining prompts step by step to achieve more accurate and relevant AI responses. -
Why is specificity important in prompts?
Specificity helps eliminate ambiguity, allowing the AI to generate more targeted and relevant outputs.
how does AI actually see your prompts here's where most people get it wrong when you say write about a cat sitting
on a couch your human brain knows what a cat is what a couch is and you picture it in your mind but Ai No AI does not
see words or images like we do it's all math literally every word you type gets turned into number kind of like a
barcode and the AI doesn't just look at the words one by one it looks at the patterns figures out how the numbers
connect like hat plus sitting plus couch equals something specific that's how it understands the context large language
models like Chad gbt are trained in mountains of data books websites code you name it so they've seen billions of
patterns and when you give it a prompt it's like playing a giant guessing game What's the most likely response based on
the patterns it knows for image generators it's pretty similar except instead of predicting the words next
word they predict pixels you say a cat setting on a couch in a sunny living room and they think hm based on
everything I've learned what colors shapes and textures fit this description and Boom Out pops an image they're not
actually seeing or thinking they're just ridiculously good at matching patterns the takeaway here is that if you want
great results you can talk to AI like it's your buddy you have to speak its language give it the right patterns to
work with let's talk prompt engineering yeah that's the fancy term for what we're doing in here if you're the kind
of person who loves to go all in there are plenty of free and paid courses you can check out but let's be real for most
people this one video will cover 99% what you need to know no overthinking required now focusing on LMS like Chad
gbt gemini or Claude these models are great at understanding natural language though some are better than others with
these prompting it's less about giving the perfect structure and more about giving enough structure think of it like
talking to someone who can follow directions as long as they are clear so your job is to be as descriptive and
precise as possible that said some LMS are a little more particular about how they're prompted while they still
understand natural language they may need your prompt to hit a few key points but don't worry the guidelines I'm about
to share work across the board whether the AI is forgiving or picky rule number one ditch the fluff forget all the
pleasantries like can you please what do you think or maybe you could AI does not care about your matters it has no
feelings no ego and definitely no plans to Rise Up Against Humanity because you didn't say please keep it direct and
factual for example instead of can you please write me a short story about a robot and a dog who can go adventure
together just say write a short story about a robot and a dog going on an adventure see the difference you're
couldn't out an necessary words this not only saves time but also avoids giving the AI extra tokens basically pieces of
of text to process the fewer distractions you give it the better the results Simple and Clean that's the way
to go if you've ever tried promoting your business through social media you know how difficult it is to come up with
posts and videos write everything should edit post that's a lot to handle a good solution would be to use predus the
sponsor of today's video and an amazing toll that simplifies the creation of branded social media content posts ad
videos carousels and much more it's so easy here if I want to Carousel I pick it from the type the general idea of the
post specify a few things like the theme assets used and so on the AI here is really good so if you don't want stock
images it will generate them for you the same goes for ad videos a rough idea is enough and the AI will figure it out and
the quality of the generate post and videos is actually good everything can be used Straight Out of the platform
predus also makes post and easier thanks to post scheduling I can pick when I want the post or video to go live build
a hul plan and it will be posted without my involvement and fedus integrates well not only with social media but also with
e-commerce platforms like Shopify woomer Wix integration takes only a couple clicks and you're ready to streamline
the pipeline fredes can even automatically transform listings into posts ad videos and carousels and that
scheduled posting really comes in handy here on top of all this there's also a built-in competitor analysis toll which
shows core features Target audiences pricing user experience and Innovations of your competitors predice is a
One-Stop solution for the social media needs of any business really be sure to check it out the link is in the
description here's the golden rule of promp writing be descriptive this is where you level up your results sure
couldn't out of necessary words is important but now we're flipping the script we're adding the right words
because the more detail you give the less the AI has to guess and trust me the guessing game is where results go
sideways let's break it down AI thrives un clearance instructions so you've got to eliminate any room for
misunderstanding give it details about the topic the tone and the audience for example asking for a blog post about the
economics of the Middle East in 1960s is setting yourself up for a bland generic response AI doesn't know how much detail
you want what tone to use or who's supposed to read this instead say something like this write a 1,000w blog
post about the economic situation of kuay from 1961 to 1967 aimed at beginners in a conversational tone now
you've T the AI exactly what you want word count time frame tone and audience the result much more thorough and
engaging response with fewer follow-up tweaks think of it as frontloading the works so you don't have to keep refining
after the fact now you can prompt almost any AI out there and if you're curious about which AIS you should check out
visit our website aim. me there we post reviews of handpicked AI TOs and educate people on the basics of AI the link is
in the description now context and specifics there are like two sides of the same coin specifics tell the AI what
to write about while context guides how it should write it say you ask AI to write a blog post about social media
marketing you are leaving AI to figure out everything who's the audience what's the tone how much detail to include the
result generic surface level fluff but watch what happens when you tweak it write a 1,000-word blog post about
digital social media marketing for beginners using conversational tone targeting General audience and dividing
it into five parts each with a short list you specify the audience beginners the tone conversational and even the
structure five parts with lists this not only saves time but also ensures the response fits your exact needs no vague
answers no extra guesswork specificity and context are your best friends the more you can pack into a prompt without
overloading it the better the ai's output and later will tackle how this approach shifts when you move to image
generators it's a whole different game but the same principles apply and to just make your prompts even
so slightly better remember about Ro play when you ask an LM to act like a specific professional you are given it a
filter instead of pulling info from all the data it's trained on it focuses on a specific field that makes the response
more accurate more factual and relevant to the topic when it to write like a journalist lawyer or doctor just tell it
instead of saying explain the legal process for panting invention try this you are a patent lawyer explain the
legal process for penting and invention in simple terms for a non-legal audience with the raw assign the AI knows to stay
within the boundaries of that profession and speak in a way that aligns with its expertise the response will feel sharper
more polished and far less generic so remember always give the AI had to wear a role to play it's like switching the
AI into a mode that's tailored to your needs another rule to remember is to use limitations LMS like I said have no
understanding where to stop and what not to do they might overe explain dive into irrelevant details or write way more
than you need that's where limitations come in instead of saying write about renewable energy which is way too vague
by the way say this write 200w summary on the benefits of soul energy avoiding technical jargon and focusing on
environmental advantages see the difference you've kept the word count narrowed the focus to solar energy ban
technical language and highlighted the environmental angle this keeps the response tight relevant and manageable
here's a pro tip use words like avoid only or focus on to set clear boundaries for example write a three paragraph
article summarizing the pros and cons wind energy for high school students avoid discussing Financial incentives
and focus only on environmental benefits these little tweaks make a huge difference you're telling the AI not
just what to write but how to write it and what to leave out but even if after all this the
results are not perfect you can always do some iterative prompting instead of trying to nail the perfect prompt on
your first go you start simple and build from there think of it like a layer in a cake each prompt adds a new layer of
clarity and precision until you've got exactly what you need for example say you start with a broad prompt like a
explain renewable energy the response will probably be vague and all over the place so you're fining focus on the
advantages of wind energy compared to fossil fuels and now you're getting closer but maybe it's still not quite
what you're looking for so you add another layer rewrite the explanation for a 10-year-old audience using simple
language and examples and now the results hit the mark could you have written one detailed prom up front sure
something like explain renewable energy focusing on the advantages of wind energy compared to fossil fuels for
10-year-old audience using simple language and examples that might work for simple tasks but as your requests
get more complex iterative prompting shines lets you just refine add detail step by step without overwhelming
yourself or the AI a part of that being specific from earlier was given the LM information
about style tone of voice formatting that sort of thing I'll admit these little things don't have a huge impact
on General prompting but if you need specific format in style or a specific tone of voice you should incorporate
these things into your promps this can include formats like lists tables essays or specific writing styles like poems
song verses and so on take this vague prompt tell me about the history of computers it's fine but you're leaving a
lot up to chance instead try write a timeline line of major events in computer history formatted as a bullet
list include five to seven key Milestones with one sentence explaining each now ai knows exactly what you want
a timeline specific number of events and concise explanations or if you're going for something creative like a write a
Shakespearean Sonet about space exploration the key is to name the format or style explicitly whether it's
essays lists tables poems or song lyrics spelling it out ensures response matches your
[Music] expectations but sometimes just telling the AI what you want isn't enough
instead you show it by providing one or few examples of what you're looking for you give the AI a template to work for
this approach is especially powerful for projects for NES tasks or creative projects where context or style matters
a lot for instance say you want a core progression in the style of the Beach Boys a basic prompt might be right a qut
progression the style of the Beach Boys you might get something decent but if you add an example the results are Next
Level try this write a chord progression the style of the Beach Boys here's an example with the example the AI knows
the vibe you're aiming for it's like handing it a starting point to riff off of ensuring the results are way closer
to what you want fuse shot prompting isn't just for music you can apply to wri in Styles journalistic academic
humorous formatting tables outlines scripts specific tones or perspectives for example write a dialogue between two
people debate in AI ethics at this point we already can write a perfect prom that will give us
exactly the results we want however there is still are a few useful techniques to keep in mind like the
Chain of Thought thing this technique is all about structuring your prompts like a checklist or guideline works wonders
for more complex or multi-part requests helping the AI than through the task logically and stay on track take this
vague prompt explain the pros and cons off renewable energy sure it will give you something but it might miss key
points or wonder off topic Instead try this explain the pros and cons off renewable energy by addressing the
following environmental impact economic considerations avilability and scalability long-term sustainability now
you've mapped out exactly what needs to be covered the AI follows your structure hitting every key point with without
throwing in irrelevant fluff when you're dealing with big problems and huge tasks one of the
smartest moves is to split them into smaller chunks not only does this make things more manageable but it also
dramatically reduces errors or hallucinations when the AI starts making stuff up complex tasks have a higher
chance of going off the rails so breaking them down keeps everything on track let's look at this overloaded
prompt explaining the causes effects and potential solutions for climate change that's asking a lot in one go the AI
might give a decent answer but chances are it will miss key points or blend everything together in a messy way
instead break it into smaller prompts like this list the top three causes of climate change describe the main effects
of climate change on agriculture suggest two practical solutions to combat climate change now instead of one overly
ambitious request you've got three clear focused tasks AI will nail each one individually and you can piece them
together for a polished final result and like before this works great for simple tasks but shines even more for complex
ones the bigger your request the more split and helps and just in case you're still not
satisfied after all that you can always ask for chosen LM to help you with prompting AI is great at breaking down
and rephrasing tasks it's literally Built For This paste your prompt and say refine this promt to make it clearer and
more effective explain the causes effects and potential solutions for climate change it might suggest
splitting up or adding more specifics like tone audience or formatting as a result not only do you get a better
structured prompt you're also learning how to improve your own prompt and skills all right let's get real nerdy
for a sec if you're into prompt engineering there are these things called parameters basically numbers you
can tweak to control how an AI responds take temperature for example it's like the randomness dial Crank It Up and you
will get super creative chaotic responses turn it down and you will get the AI equivalent of a straight A
student sticking to the roles but every language model handles these parameters a little differently in CAD gbt Claud or
Gemini you just type temperature followed by a number like 7 or 1.0 easy right but switch to mistal and suddenly
you're using equal sign instead of a why who knows it's just their thing and that's not all you've got Max tokens
which controls how long the AI will Ramble On Top P for Creative diversity and top K which is like saying pick the
best words but not too many options messing with these lets you f tune your output like a
pro now if we're talking images the game changes some principles carry over good prompts equals good results but the toes
get picky for example Dolly it's your chill buy you can feed it a straightforward description and boom
magic but something like M Journey you better know the exact phrasing like you're talking to an art snob who only
responds to just the right tone on the surface it works kind of like language models but under the hood somewhat
different Beast say you type something like a futuristic city at Sunset and the toll goes all right I know what you're
saying and starts froml in that prompt into visuals here's how your words get split into chunks like futuristic city
and sunset the AI has a number language where it knows how these ideas connect it's not just making the wild guesses
though it's working off a massive database trained in billions of images with imch descriptions think of it like
showing an artist zillion pictures and saying this is what futuristic could mean or this is what a city looks like
and here's the cool part it doesn't copy instead it mashes together Styles Vibes and Concepts it learned to cook up
something entirely fresh so how does it actually make the image it starts with a random noise like the static on an old
TV and gradually tweaks that mess until it matches your description this magic process is called diffusion the AI
refines the noise bid by bid turning chaos into something awesome now when you're prompting for
image generation the roles are a little different from text models you're not saying how to draw you're just
describing exactly what you want to see when it comes to crafting killer image promts the secret sausage structure you
want clear detailed instructions that give the AI everything it needs to blow your mind with the results here is a
super simple three-step framework to follow one subject two description three style aesthetic put it all together and
here's what a solid prompt looks like the Batmobile stuck in Los Angeles traffic impressionist painting wide shot
and boom clear subject Vivid description and an aesthetic that paints perfect picture using this basic framework
you'll not only get better results but also set yourself up for Advanced Techniques later and trust me once you
start tweaking these elements you will unlock Next Level creativity and just in case for more Co AI toast visit AI
master. me where we post detailed reviews of the coolest AI tools out [Music]
there your subject is the foundation think of it as the main character of your visual story it's usually a noun
dog spaceship guitar waterfall if you're vague like saying Joy or Freedom the AI is just going to shrug and throw
something random at you stick with solid tangible things want better results spice it up with objectives don't just
say CAD say a fluffy black cat with glowing green eyes already more Vivid right next up build the description add
the context what's your subject doing how are they doing it what's happening around them Details Matter saying a
dragon flying in the sky works but saying a red dragon soaring through stormy clouds lightning Illuminating
scales as it breathes fire into the night takes it to a whole new level the background don't skip it it ties the
whole vibe together and finally rapid in style aesthetic this is like picking the filter for your image how do you want it
to look is it a photo a painting or maybe a 3D render what's the art style impressionist cyber Punk or gothic Vibes
any artist and lence wanted to scream Picasso or Studio gibl say it how about framing do you want a closeup of the
subject's face or a dramatic wide shot and like I said earlier there are roles to follow as well the first rule of
prompting don't overthink it just describe the image like you would to a friend who's never seen it but here's
the thing lists of words can feel a little well flat let me show you what I mean here's a basic prompt cat Urban
Street cyber Punk neon nighttime High quality it's clear enough but it's also kind of bare bones now imagine if
instead of a list you painted a hall scene something like this a sleek black cat purged in the rain s Urban Street in
a glow cyberpunk city at night neon signs in Electric Blues and pures reflect off the wet pavement casting a
dreamy glow the cat's cybernetic eyes shimmer Softly As It watches hover car zip through the messy air in the
background see the difference when it comes to prong length there's no one siiz fits all some AI
love the Simplicity of short prompts others Thrive when you get into all the NRE details and you as a prompt engineer
have to find the right prompt length depending on the complexity of the image you're trying to generate check this out
this is a short pront a snowy mountain range at Sunrise Golden Light hidden icy peaks with a lone climber in the
distance short and sweet right gets the job done if you want something simple but sometimes adding a bit more
description brings out the magic let's expand on that now we're starting to feel the scene but what if we wanted to
go all in and add every little detail here's how that could look think of short prompts as quick sketches they are
great for getting ideas down fast medium prompts are like roof drafts balanced in creativity and control and long proms
those are your detailed masterpieces where you have the final say over every element with practice you'll know
exactly when to keep it short and when to let your creativity flow the best part is that every time you refine your
prompts you are sharpening your vision for the Perfect Image and sometimes you just have to be
negative you have to tell AI what you don't want in your image that's called negative prompting think of it as a
filter couldn't out distractions and unwanted details whether you're trying to avoid clashing Styles relevant
objects or specific colors negative PRS help the AI zero in on your vision in some image generators there is specific
specific area for a negative front where you just list stuff in others you need to modify the main front though it's
really easy to do you just type avoid or exclude and then list the things you don't want let's say you're creating a
peaceful beach scene you're imagining crystal clear water white sand and a Serene Vibe but instead of Tranquility
the AI gives you a modern beach resort with buildings and umbrellas everywhere here's where negative prompton shines
start by listing the elements you'd prefer to exclude be specific instead in of just thinking I don't want
distractions pinpoint exactly what those distractions are is it a particular style a certain type of object once
you've identified what to avoid add those elements to your negative front keep it specific and direct as vague
terms might not work as well so let's say our main prompt looks like this magical forest bath in soft Moonlight
glowing mushrooms scatter the forest floor and ancient trees rise toward the sky then the negative front would be
cabins Pathways buildings fences artificial lighting one thing that often slips
through the cracks when working with AI image generators is resolution and quality settings these might seem like
afterthoughts but they can make a huge difference in the final look of your image especially if you're planning to
print it or use it in larger project most AI TOS produce images at 72 DPI dots per inch by default this is great
for screens websites social media or digital presentations but 72 DP isn't ideal for printing or high detail
projects if you try to print an AI generate image at full size you might notice some fuzziness or pixelation and
then there is the size limit many generators max out around 1,24 pixels in one dimension which is fine for smaller
projects but feel restrictive for more demand and needs that's why it's important to understand how resolution
and layout fit into your promp and strategy even if the AI has built in size limits you can nudge it to work
better Clarity and detail with are proms mention terms like high resolution 4K or even detail textures can encourage the
AI to pack more visual richness into the image even if the resolution technically stays the same layout is another area
where your promt can steer the AI use terms like Square landscape or portrait to influence the image's orientation
while you can't always specify exact dimensions suggesting an aspect ratio helps the AI craft images that fit your
vision better each image generation platform has it quirks when it comes to resolution upscaling dolly is hands down
one of the easiest TOS for resolution tweaks you can directly prompt it for different formats and even upscale the
image later with minimal hassle need a larger version or a different layout just ask and mid Journey while upscaling
is also possible here requires a bit more experimentation you will need to figure out the right settings and
commands but once you get the hang of it the results can can be stunning Pro tip using terms like high detail or photo
realistic can help nudge M journey to generate sharper outputs from the start oh and speaking of mid Journey we just
put together a full guide to it make sure to check it out as pack with tips to take your image generation to the
next level at its core all prompting is about giving clear instructions AI is like a
kid who doesn't know what to do but that has all the TOs for it so if that's LM tell exactly how to write if that's an
imma generator describe describe describe simple as that thanks for watching and see you in the next video
Heads up!
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