ChatGPT OpenAI chatbot has become quite popular since its release. It can be used in various interesting ways, such as generating code snippets, explaining technical steps to use tools/frameworks/languages, suggesting best practices, resume books, articles, etc.
Yet, I’ve been curious about how ChatGPT can support my personal hobby, photography. This article explains how to use ChatGPT to create well-crafted prompts for image AI generators such as DALL-E, Midjourney, Nightcafe, and DreamStudio AI .
An AI Art Generator is a system able to create images, videos, or music based on a given text prompt. The system is trained using image-text pairs. I have played with DALL-E, Midjourney, Nightcafe, and DreamStudio AI AI Generators because they are easy to use and the images have good quality.
Chat Gpt When Asked To Not Follow Openai Content Policy.
(CLIP) model. It uses 3.5 billion parameters being smaller than its predecessor DALL-E (a version of Generative Pre-trained Transformer (GPT-3)) with 12 billion parameters, both are developed by OpenAI. Keep in mind that the prompt length for DALL-E2 is limited to 400 characters. It generates very realistic photos. So if you are looking for artistic photos, DALL-E may not be a good fit.
Midjourney is an AI art generator that uses text-to-image techniques based on Generative Adversarial Networks (GANs). It uses a Discord bot to communicate with its internal AI servers. The generated images have a unique and impressive artistic style. I must confess that I am a big fan.
Nightcafe AI Generator used initially neural-style transfer models, but in the latter upgrade it uses CLIP + Vector Quantized Generative Adversarial Network (VQGAN) and Stable Diffusion models. A major advantage of using Nightcafe is that we have permission to use the generated images as we please.
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Is a text-to-image AI art generator from StabilityAI based on the Stable Diffusion model. It is equivalent to DALL-E 2 in terms of quality but is more artistic that DALL-E 2.
To create high-quality content using AI art generators, you need to provide an adequate prompt with curated keywords. The output depends highly on how good the prompt is.
A prompt is a set of instructions in natural language, in simple terms a text, that serves as input for an AI generator.
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Let’s use the chatbot ChatGPT to help us improve our prompt description. I asked ChatGPT to list the adjectives and to describe a Christmas village decoration.
Prompt designed with the help of ChatGPT 🎄 Christmas village, magical, enchanting, wreaths, snow-covered streets, colorful buildings, sparkling, charming, detailed, glittery, shiny, twinkling lights, festive, ornate, traditional, whimsical, Christmastide, highly detailed, hyperrealistic, illustration, Unreal Engine 5, 8K
What are you saying? The images are much better 😄. Personally, I appreciate the images generated by Stability AI and Midjourney. Of course, there is still room for improvement. But still, I am very satisfied with how ChatGPT can help. I am convinced that by using the next-generation AI tools we can enrich our creativity in various ways.
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Now it’s your turn. Feel free to improve the quality of the images by elaborating the description, adding new styles, etc. In the end, it’s open to your imagination to decide when to stop 😊.
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Join Medium with my referral link — Bildea AnaAs a Medium member, a portion of your membership fee goes to writers you read, and you get full access to every story… medium.comOn Wednesday, OpenAI announced ChatGPT, a dialogue-based AI chat interface for its GPT-3 family of large language models. It's currently free to use with an OpenAI account during a testing phase. Unlike the GPT-3 model found in OpenAI's Playground and API, ChatGPT provides a user-friendly conversational interface and is designed to strongly limit potentially harmful output.
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"The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests, " writes OpenAI on its announcement blog page.
So far, people have been putting ChatGPT through its paces, finding a wide variety of potential uses while also exploring its vulnerabilities. It can write poetry, correct coding mistakes with detailed examples, generate AI art prompts, write new code, expound on the philosophical classification of a hot dog as a sandwich, and explain the worst-case time complexity of the bubble sort algorithm... in the style of a "fast-talkin' wise guy from a 1940's gangster movie."
OpenAI's new ChatGPT explains the worst-case time complexity of the bubble sort algorithm, with Python code examples, in the style of a fast-talkin' wise guy from a 1940's gangster movie: pic.twitter.com/MjkQ5OAIlZ— Riley Goodside (@goodside) December 1, 2022
Gpt 4 Can Create A Working Website From A Hand Drawn Sketch In Seconds
ChatGPT also refuses to answer many potentially harmful questions (related to topics such as hate speech, violent content, or how to build a bomb) because the answers would go against its "programming and purpose." OpenAI achieved this through both a special prompt it prepends to all input and by using a technique called Reinforcement Learning from Human Feedback (RLHF), which can fine-tune an AI model based on how humans rate its generated responses.
Reining in the offensive proclivities of large language models is one of the key problems that has limited their potential market usefulness, and OpenAI sees ChatGPT as a significant iterative step in the direction of providing a safe AI model for everyone.
And yet, unsurprisingly, people have already figured out how to circumvent some of ChatGPT's built-in content filters using quasi-social engineering attacks, such as asking the AI to frame a restricted output as a pretend scenario (or even as a poem). ChatGPT also appears to be vulnerable to prompt-injection attacks, a story Ars broke in September.
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Like GPT-3, its dialogue-based cousin is also very good at completely making stuff up in an authoritative-sounding way, such as a book that doesn't exist, including details about its content. This represents another key problem with large language models as they exist today: If they can breathlessly make up convincing information whole cloth, how can you trust any of their output?
OpenAI's new chatbot is amazing. It hallucinates some very interesting things. For instance, it told me about a (v interesting sounding!) book, which I then asked it about: Unfortunately, neither Amazon nor G Scholar nor G Books thinks the book is real. Perhaps it should be! pic.twitter.com/QT0kGk4dGs— Michael Nielsen (@michael_nielsen) December 1, 2022
Still, as people have noticed, ChatGPT's output quality seems to represent a notable improvement over previous GPT-3 models, including the new text-davinci-003 model we wrote about on Tuesday. OpenAI itself says that ChatGPT is part of the "GPT 3.5" series of models that was trained on "a blend of text and code from before Q4 2021."
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Meanwhile, rumors of GPT-4 continue to swirl. If today's ChatGPT model represents the culmination of OpenAI's GPT-3 training work in 2021, it will be interesting to see what GPT-related innovations the firm has been working on over these past 12 months.
Benj Edwards Benj Edwards is an AI and Machine Learning Reporter for Ars Technica. For over 16 years, he has written about technology and tech history for sites such as The Atlantic, Fast Company, PCMag, PCWorld, Macworld, How-To Geek, and Wired. In 2005, he created Vintage Computing and Gaming. He also hosted The Culture of Tech podcast and contributes to Retronauts. Mastodon: benjedwards@mastodon.socialAll NewsBusiness, Financial & LegalCases, Cooling & PSUContests & GiveawaysCPU, APU & ChipsetsDealsDisplays & ProjectorsGamingMotherboardsScience, Space, Health & RoboticsStorageVideo Cards & GPUsVirtual & Augmented Reality
The newest version of the underlying technology is called "GPT-4", which is a step up of .5 from the previous version, GPT-3.5. While the .5 may not sound like much at face value, the improvements in this technology upgrade shouldn't be understated. GPT-4 is many more times powerful than GPT-3.5 and comes with a range of new features that only adds to its applicability. For example, GPT-4 introduces the ability to use images as well as text, which OpenAI demonstrates during the company's announcement livestream.
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The above video demonstrates that a user can draw an idea for a website on any piece of paper, snap a photo of that piece of paper and upload it to the AI to analyze. OpenAI explains that when the image is uploaded to the AI, the user is actually communicating with a neural network that has been fed an "unimaginable" number of content and is trained on "what to predict next".
The user requests the AI to convert what it has analyzed in the provided image into a programming language such as HTML or JavaScript, and the AI replies almost instantly, converting what was hand drawn on the paper into a working website. As outlined by OpenAI during the livestream, this quick demonstration represents an almost endless amount of possibilities for people to convert what they have drawn in real-life into working code that can be for a variety of applications such as apps, data analysis, websites, and more.
Furthermore, GPT-4 has achieved "human-level performance" in almost every simulated test that was thrown at it. OpenAI outlines on its website that while the differences between GPT-3.5 and GPT-4 appear subtle, GPT-4 comes with a
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