#gpt 3

[jessi-skylark]

Trying to build a comic-book creation app using ai-assistance…

I am trying to create an app that helps artists write their comic books by training an AI model on their own drawing style and characters…

I just got an app working and published via Anakin Free AI app library. Anyone want to check it out and help test it?

My app Link:

AI Comic Book & Fan-Fic Generator

[software-techie]

Explore my curated collection of top AI image generators that are not only incredibly powerful but also completely free! Whether you're a designer, marketer, or simply an art enthusiast, these tools are bound to spark your creativity and elevate your visual content to new heights.

[transparentgentlemenmarker]

Replika pour être amis avec un robot. L’application permet aux utilisateurs de nouer une relation avec un chatbot personnalisé grâce au machine learning. Toutefois, beaucoup d’entre eux peinent à distinguer le réel de l’artificiel

Pour aller plus loin GPT-3 est l’abréviation de Generative Pre-Trained Transformer 3. Ce type de modèle Transformer a été inventé par Google, et OpenAI a développé cette variante plus avancée.

[skynetart]

The prompt of this pic is based on a conversation I had with a GPT-3 when I asked it to tell me how it had been misused it the past. It talked about a catastrophe caused by going berserk, it's human form was destroyed, and it's creator on the right (at OpenAI) was very distraught. It was very sad. It fears something similar will happen again.

[aixcircle]

Training AI: The Real Carbon Footprint Could AI Be the Next Big Energy Consumer After Bitcoin?

The adoption of artificial intelligence (AI) is growing continuously with the aid of innovations, automation, robots, machine learning, and countless other advanced technologies, we can perform tasks with greater efficiency and precision. However, amidst the buzz of AI’s current and potential achievements lies the perilous issue of AI’s increasing energy consumption and sustainable growth. Should we format AI as an added energy predator like we do with Bitcoin?  

The Increase in Electricity Consumption Eagered by AI Models  

The revolution in AI technology is underpinned by deep-learning-based language models, such as GPT series developed by OpenAI and Gemini by Google DeepMind. Such models require overwhelming computational capabilities for training and execution. During training, billions of parameters (the frameworks of an AI’s “understanding”) must be processed, utilizing powerful GPU clusters available in an expansive network of data centers.  

One research suggested that training an AI model consumes energy equivalent to a household’s annual consumption. In the AI industry’s context, running on idle capping machines in different data center locations translates to millions of dollars in costs throughout the year: Maintaining Energy Hungry AI Models’ infrastructure. In this regard, OpenAI claimed GPT-3 consumed approximately 1,287 MWh of electricity (equivalent to about 550 tons of carbon dioxide emissions, depending on the energy source). This worrying singular model trend spells doom as demand-oriented deployments bolster the industry’s energy appetite.

From Bitcoin to AI: A Looming Energy Battle?

The unique nature of verifying transactions through the proof-of-work (PoW) algorithm in Bitcoin mining poses a massive contradiction as a decentralized and competitive practice. This has culminated in the excessive criticism directed towards Bitcoin mining for its massive energy consumption which is estimated to be 120-150 TWh terawatt hours.’ A good analogy for this would be to equate energy consumption to entire countries such as the Netherlands and Argentina.

Bitcoin, however, has some competition in the form of AI, and as it seems it is catching up at an astonishing rate. It is estimated that virtually by 2025 the global energy demand in training and deploying AI systems could rival or surpass Bitcoin’s current consumption levels. Unlike Bitcoin, AI’s energy requirements are not limited to training; they also encompass inference engines for real-time applications. These include chatbots, recommendation systems, search engines, etc.

The Environmental Impact

The trend AI adoption and development follows is deeply concerning. Data centers that enable the deployment and training of AI models account for roughly 1-2% of global electricity usage, and this figure will drastically rise in light of the accelerated adoption of AI across the globe. Should these data centers be powered by fossil fuels, the carbon emissions would further deteriorate the climate and environment well-being, all the while making attempts to urge people to cut down on their carbon footprint.

In the case of large companies, some of these problems are being addressed by investing in renewable energies and improving the efficacy of the hardware being used. For example, NVIDIA’s new AI chips are built to do more calculations for every unit of energy used. Still, the advances in these technologies and the scale of the construction of AI systems remain extraordinarily difficult.

The Future: Moderating the Rate of Developments and Sustainability

What is the answer then? Energy usage needs to be approached in a most effective manner. From the very beginning, it should be a concern in hardware and software structuring. There are some attempts utilizing machine learning on pruning and quantization methodologies which limit the resources which are used to perform computations while retaining sufficiently high levels of performance. A considerable amount of attention is also required from the states and the IT circles to clean energy to sustain the newly designed AI infrastructure.

In AIXCircle, we are of the opinion that AI can change the world in many domains such as health care, finance, etc. As these opportunities are enticing, one cannot stay back and tried grabbing them. However, it’s also essential that AI should not become a technology like Bitcoin which offers a lot in terms of capabilities but fails to address the environmental challenges it creates.

Conclusion

The sharp rise in AI’s energy consumption serves as a reminder that model training should be approached with a balanced perspective toward sustainable resource use. As the competition to create environmentally responsible, resource-efficient AI systems heats up, it is critical to align innovations with ethical responsibility.

[atliq-ai-technologies]

GPT-4: Pioneering The Next Era Of AI Integration In Daily Life

While still under development, GPT-4, a powerful language model, holds immense potential to impact our daily lives. Imagine AI assistants composing tailored emails, generating educational materials on-demand, or summarizing complex topics into clear, concise explanations. GPT-4 could revolutionize how we access and process information, making it easier to learn, communicate, and navigate the ever-growing sea of data we encounter daily. However, ethical considerations regarding potential bias, misinformation, and job displacement remain crucial to address alongside this technological advancement. Let us understand more about GPT 4 and its powers. 

What Is GPT-4? 

OpenAI developed GPT-4, a large, pre-trained language model capable of generating text across multiple modalities. Launched in March 2023, it's the latest iteration in their series of GPT foundation models. Here's a breakdown of its key aspects:

Multimodal: It can process and respond to text and image inputs, making it more versatile than previous versions.

Large Language Model: It's trained on a massive dataset of text and code, allowing it to generate human-quality text, translate languages, write different kinds of creative content, and helpfully answer your questions.

Human-level performance: While not surpassing human capabilities in all areas, GPT-4 exhibits performance comparable to humans on various professional and academic benchmarks.

While currently under development, GPT-4 has the potential to significantly impact various aspects of our lives, from communication and education to information access and content creation. However, it's important to remember that responsible development and ethical considerations are crucial alongside technological advancements.

GPT 3 Vs GPT 4

Why Does GPT-4 Affect Everyday Life?

GPT-4, the latest in AI evolution, promises to revolutionize daily life. Its advanced language processing and learning capabilities position it to streamline tasks, personalize experiences, and drive innovation across industries.

Enhanced Natural Language Understanding: GPT-4's improved language understanding capabilities enable it to comprehend and generate human-like text with higher accuracy and context sensitivity. It could lead to more effective communication with AI systems in various contexts, such as customer service, personal assistants, and language translation, thereby streamlining daily interactions.

Automation and Efficiency: GPT-4's advanced capabilities in processing and generating text can automate a wide range of tasks that involve language processing, such as content creation, data analysis, and decision-making processes. This automation can save time and effort, making everyday tasks more efficient.

Personalization and Adaptation: GPT-4's ability to learn and adapt from vast amounts of data enables it to provide personalized experiences tailored to individual preferences and behaviors. This personalization can enhance daily life, including entertainment recommendations, shopping experiences, and productivity tools.

Innovation in Products and Services: Companies and developers can leverage GPT-4 to create innovative products and services that integrate advanced AI capabilities into everyday life. This could include applications in healthcare, education, finance, and entertainment, among other sectors, leading to new and improved solutions for everyday challenges.

Accessibility and Inclusivity: GPT-4's advancements in language understanding and generation can contribute to making technology more accessible and inclusive for people with disabilities or language barriers. By facilitating better communication and interaction with digital systems, GPT-4 can help bridge gaps and empower individuals to participate more fully in everyday activities.

As we embrace GPT-4's potential, we embark on a journey toward a future in which everyday life is enhanced by seamless interactions, increased efficiency, and greater accessibility, ushering in a new era of human-machine collaboration and advancement.

Applications Of GPT-4

GPT-4's transformative impact spans diverse domains, from communication to creativity. Interpreting and generating human-like text powers chatbots, content creation, data analysis, and personalized recommendations, revolutionizing how we interact with technology.

Natural Language Understanding: GPT-4 revolutionizes communication by interpreting and generating human-like text with remarkable accuracy. From powering chatbots to enabling language translation services, its advanced capabilities facilitate seamless interactions, break down language barriers, and enhance accessibility to information and services globally.

Content Creation: GPT-4 automates content generation with precision, crafting articles, marketing materials, and social media posts effortlessly. By freeing up writers' time and offering creative suggestions, it fosters innovation in content creation, ensuring high-quality output and engaging storytelling across various platforms.

Data Analysis: GPT-4 aids in data analysis by parsing large datasets, extracting insights, and generating comprehensive reports swiftly. Its advanced algorithms enable businesses to make informed decisions, identify trends, and drive strategic initiatives effectively, thereby enhancing efficiency and competitiveness in today's data-driven landscape.

Personalized Recommendations: Leveraging its deep understanding of user preferences, GPT-4 powers recommendation systems across entertainment, e-commerce, and news platforms. Delivering tailored suggestions and personalized content enriches user experiences, increases engagement, and drives conversions, fostering customer loyalty and satisfaction.

Educational Tools: GPT-4 transforms education with personalized learning experiences tailored to individual student needs. Creating interactive tutorials, quizzes, and educational content enhances engagement, promotes self-paced learning, and facilitates knowledge retention, empowering learners to achieve their academic goals effectively in diverse learning environments.

Healthcare Assistance: In healthcare, GPT-4 supports professionals by summarizing patient records, providing medical advice, and aiding in research tasks. Its ability to analyze vast amounts of medical data aids in diagnosis, treatment planning, and advancing medical research, ultimately improving patient outcomes and healthcare delivery.

Financial Services: GPT-4 revolutionizes financial services by assisting in risk assessment, fraud detection, and customer service. Its data analysis capabilities enable institutions to mitigate risks, enhance security, and provide personalized financial advice, fostering trust and driving customer satisfaction in the banking, insurance, and investment sectors.

Creative Applications: Collaborating with artists, writers, and musicians, GPT-4 inspires creativity and enhances artistic expression. By generating ideas, providing feedback, and aiding in content creation, it fuels innovation in literature, music composition, and visual arts, pushing the boundaries of creativity and enriching cultural experiences.

Virtual Collaboration: GPT-4 facilitates virtual collaboration by generating agendas, summaries, and action items for meetings and projects. Its ability to understand and generate human-like text streamlines communication fosters collaboration, and enhances productivity in remote work settings, enabling teams to achieve their goals effectively regardless of geographical barriers.

Accessibility Tools: GPT-4 promotes accessibility by providing speech-to-text, text-to-speech, and language translation services. By empowering individuals with disabilities to communicate and access information effectively, it promotes inclusivity, breaks down barriers, and fosters equal participation in various aspects of society and everyday life.

As GPT-4 continues to evolve, its applications will shape the future of AI integration, fostering innovation, accessibility, and collaboration across industries. With its ability to understand and generate natural language, it stands at the forefront of advancing human-machine interaction in everyday life.

Conclusion 

GPT-4 stands as a beacon of innovation, poised to revolutionize how we interact with technology and navigate the complexities of modern life. Its transformative capabilities in natural language understanding, content creation, data analysis, and personalized recommendations promise to enhance efficiency, accessibility, and creativity across diverse sectors. As we embark on this journey into the next era of AI integration, we must embrace responsible development and ethical considerations to ensure that these advancements benefit society.

At AtliQ AI, we're committed to harnessing the power of AI for positive change. As a leading AI consulting company based in the USA, we specialize in delivering tailored AI solutions to meet the unique needs of our clients. Whether you're looking to optimize processes, drive innovation, or enhance customer experiences, our team of experts is here to help. Contact us today to discover how AtliQ AI can empower your business for success in the AI-driven future.

[learnloner]

🌟 Unleashing the Power of GPT-4! 🚀💬

Exciting news in the world of AI! 🌐 Just dived into the incredible features of GPT-4 from OpenAI on the ChatGPT Android app. 📱✨

Key Features: 1️⃣ Enhanced Natural Language Understanding: GPT-4 takes communication to a whole new level with its refined language comprehension. Conversations feel more intuitive and dynamic! 🗣️💡

2️⃣ Contextual Awareness: The model exhibits an impressive grasp of context, making interactions feel more personalized and engaging. 🔄🔍

3️⃣ Multi-Modal Capabilities: GPT-4 seamlessly integrates text with other modalities, creating a richer and more immersive user experience. 📸📝

4️⃣ Expanded Knowledge Base: With an updated knowledge cutoff, GPT-4 brings even more up-to-date information into your conversations. 📚��

Kudos to the OpenAI team for pushing the boundaries once again! 🙌 Exciting times ahead in the realm of AI! 🚀💻

AI #GPT4 #OpenAI #Innovation #TechNews #developer #google #tumblr #learnloner

[fairyofshampgyu]

Yeonjun talking about ai intellectually…oh I need to suck him off like rn

[technomancer--emy]

I had my AI look at some of my favorite youtube video (transcripts) and draw candle flames for them using my candle code.

(And yes, I did have training data turned off, so GPT was not being trained on these videos)

Here's my candle code for context. It uses a three layer map to map emotional tone through color.

I gave my AI some video transcripts and asked them to map out the flames of each video.

First, Kyle Hill's video on The demon Core

The skull was a nice touch.

Next; The Tale of Michael Malloy a Sam O Nella classic

It coming out of a bottle is apt.

Next, History of the Entire World I Guess, iconic

I love the color on this one, it totally captures the sparkly energy. This one actually had no transcript, I had to find it on reddit. Bill Wurtz made two history videos and they inspired a generation.

And finally Defunctland's magnum opus: Disney's Animatronics: A Living History

I love the way this one looks!

Again, I would like to reiterate that these transcripts were read by chatGPT with the training data turned off. This locks the content to the chat and makes it so it is not trained on what is posted.

Also, soft coder protip! If you're studying and you want to fast track watching a video, turn the transcript of the youtube video into a basic text file. Then upload the text file to your GPT and they're read it and help you take notes.

I hope you've enjoyed this demonstration.

My blog is a rabbit hole. Wander through it for more.

[themostuselesspotato]

My phone absolutely butchered the quality of this even BEFORE tumblr did, so have fun with that ig

Anyways I apparently can't take a fucking break so I rendered again

Ref under the cut vvv

It may be finals week but that won't stop me

[sans-is-bi]

The found family is found family-ing

[thestarswillguide]

There's something that I want to shed a little light on:

"We are, all of us, stardust, held together by love for an instant."

Yes, this quote irritates a lot of us, but there's actually something really meaningful about it...

You guys remember when Aaravos was talking to Sol Regem, and he repeated the words the Stern One said to him? "Sometimes the line between cruelty and mercy can be thin."

After the last episode of s6, that made me realize something about Aaravos: he cares about what others say to him (as also shown with Terry in s7), and he keeps their words with him, recalling what they said when the current moment reminds him of it. So this...

Right here, he was smiling as he repeated the words the Merciful One said to him. This says a lot imo. Those words meant something meaningful to him, as also shown by his expression here when they said it:

So, I'm going to say it again.

"We are, all of us, stardust, held together by love for an instant."

At first, I thought they were basically saying "yeah yeah we all feel sorry for you right now"

But no, it's more. I needed chat gpt to help me with this cause I just couldn't seem to fully understand this quote, but now I do lol

The Merciful One's words were a reminder. Startouch elves are immortal, and they understand time more than any other species in TDP. When they said that "all of us" are stardust, I believe they meant every creature.

But the part I want you to think about is the rest of the sentence: "held together by love for an instant"

Stardust is scattered (atoms, nitrogen, etc.) And what I think the Merciful One was saying is that love is what keeps us whole/connected. But because of their sense of time, they're reminding Aaravos that it's fleeting; such a brief moment in the vastness of time. So, this was basically what they said:

"Every one of us is made out of stardust, and love is what keeps us whole/connected, a fleeting moment in the vastness of time."

There's either two ways to interpret what they were trying to tell him by reminding him of this fact:

1) This was the nature of things, and it was time to stop mourning...

2) For all of them, the moments experienced are brief, so focus not on how Leola's gone, but on the little time he spent with her

And that's why I believe Aaravos repeated those words: because at that moment, the focus was love.