Data engineering Pryon: Turning chaos into clarity

Prompting With AI Personas Gets Streamlined Via Advent Of Million And Billion Personas-Sized Datasets

Another excellent benefit of generative AI is that it can help create content much faster than humans. For businesses particularly, it reduces the need for expensive manual work in content creation, design, and more. With the constant advancement of technology, even generative AI is being used in various industries. Tools like ChatGPT can write articles, blogs, and social media posts. Additionally, AI systems like DALL-E generate stunning visual art or illustrations based on text prompts.

• Then I showed her how Gen AI is best used to add colour and texture to a line drawing or sketch, instead of generating a whole new image that the artist cannot control.
• Essentially, generative AI enables machines to simulate creativity and produce outputs that closely resemble human-made content.
• Everyone is enamoured with generative AI and state-of-the-art model releases, often overlooking that it’s the data foundation that will make or break your use case (& the relative investment you’ve made).

Fine-tuning at best minimizes but does not eliminate the risk that outputs from the custom model would infringe others’ copyright, as VIP+ has previously discussed. Asteria also described fine-tuning as having value in its animation workflow, where the studio has many skilled in-house artists and animators develop original assets used to fine-tune. Generative AI models are trained on vast datasets, often containing copyrighted materials scraped from the internet, including books, articles, music and art. These models don’t explicitly store this content but learn patterns and structures, enabling them to generate outputs that may closely mimic or resemble the training data.

Generative AI Meaning: Understanding the Basics

The key technology behind it is something called Generative Adversarial Networks (GANs) or other models like transformers (used in systems like ChatGPT). For example, a text-generating model might be trained on millions of books, articles, and other written content. The AI studies the data to understand patterns, styles, and structures. For instance, a generative AI that creates paintings might learn about colours, textures, and brushstroke styles.

Even if some uses of generative AI were deemed legal under fair use, ethical concerns remain. Should creators have the right to opt out of having their works used in AI training datasets? Should AI companies share profits with the creators whose works were used for training? These questions highlight the broader moral implications of AI’s reliance on copyrighted material.

Generative AI And Copyrighted Material

Our community is about connecting people through open and thoughtful conversations. We want our readers to share their views and exchange ideas and facts in a safe space. Yes, it isn’t just a few hundred instances or several thousand, these datasets often are rather vast.

These models subsequently drive much of the content creation for the IP on social platforms. As data creation accelerates – 90% of the world’s data has been generated in the last two years – engineers are tasked with more than just managing it. They have to structure, organise and operationalise data so it can actually be useful and produce the right outputs.

Training AI Models Shows Benefit for Animation but Raises Ethical and Legal Questions

Anyone using a generative AI persona needs to keep their wits about them and realize that the conversation or engagement is nothing more than a mimicry or imitation. Though the AI appears to often convincingly fake the nature of the person, it is all still a computational simulation. One of the most popularly invoked personas entails generative AI pretending to be Abraham Lincoln. A teacher might tell a generative AI app such as ChatGPT to simulate the nature of Honest Abe.

I showed her how ChatGPT could clean up her written work with a simple prompt like “check grammar”. She was surprised to see how many grammar errors ChatGPT caught and fixed. I also use the same prompt to help me catch typos in my own writing; it’s like having a newsroom editor by my side. It may interest you to know that many believe that generative AI tools will become more affordable and widely available, empowering more people to use them. Also, entirely new industries and applications may emerge that are driven by generative AI innovations. “The LoRA acts as a kind of filter or lens to output images that are more brand or IP accurate.

Microsoft’s Update Decision—Google Disappears On PCs, Androids, iPhones

I recently covered the use of multiple AI personas that represent expert-level specialists in just about any domain you might be examining, see the link here if that’s something you are interested in doing. After seeing the response by AI to the above persona of a physics teacher, I decided to change or adjust the persona to explore an alternative aspect. You can even grab a bunch of them all at once and feed them as a group into a prompt. Things become slightly more complicated when you want to do a slew of AI personas. Now, you are forced to come up with a myriad of AI personas that fit what you want to do. You might also find yourself staring blankly at an empty prompt and trying to decide what is the best way to word the AI persona that you want to instantiate.

Why A.I. Isn’t Going to Make Art – The New Yorker

Why A.I. Isn’t Going to Make Art.

Posted: Sat, 31 Aug 2024 07:00:00 GMT [source]

Pryon is known for its technology that enables government agencies to introduce secure generative AI solutions that deliver accurate and timely answers from trusted content. And as the world sinks under this AI-generated deluge, I will still be here typing one word at a time for my readers. If you do not have a strong command of language and its nuances, you will not be able to evaluate Gen AI’s output with a critical eye.

You will also be unable to edit the generated text to fit your own writing style, because you don’t have a style to begin with. On LinkedIn, I’ve seen how people were too shy to post content, but started doing so when they realised ChatGPT could help them articulate their thoughts more clearly. In this way, Gen AI augments our capabilities and helps us communicate in better ways.

From building reliable pipelines to ensuring data quality, engineering teams play the central role in making systems that actually solve problems. The art and science of data engineering is about understanding what data you have, where it lives, where it’s going and how to turn it into an actionable strategic asset. Generative AI is exciting and fun to experiment with, but it also has a lot of benefits that can help people from various industries with their work. For example, generative AI can help people become a lot more creative. It opens up new possibilities for creativity, allowing humans to explore ideas that were previously not possible.

You don’t need to only use names of well-known celebrities or historical figures when seeking to instigate an AI persona. A persona consists of telling generative AI to pretend to be someone and simulate what that person might know or say. No special setup or elaborate instructions are needed to get this undertaken. I will be providing you in a moment with prompts that show how this is readily performed.

Hello, data engineering

For those who create content for a living, Gen AI feels like an existential crisis. With today’s Gen AI apps, a few keystrokes are all you need to generate entire stories, music, images and even videos. I would venture that the average use of AI personas in generative AI is usually based on something a particular person has in their mind as to what the persona is supposed to be.

An added advanced approach would be to use an online tool to dig into the dataset, pull out the AI persona descriptions, and feed them directly into generative AI. This could be a third-party tool, or you can have generative AI potentially do so for you if the AI app has suitable capabilities to allow this functionality. AI researchers have realized that users and other AI analysts might find immensely useful a dataset of AI persona descriptions. All you need to do is search the dataset to find what you are interested in as an AI persona. Voila, you then copy the description and paste the depiction into a prompt in generative AI. Readers might recall that I previously posted an in-depth elicitation of over fifty prompt engineering techniques and methods, see the link here.

• You will also be unable to edit the generated text to fit your own writing style, because you don’t have a style to begin with.
• As a result, businesses have seen efficiency gains, substantial cost reductions, and improved customer service.
• The fair use doctrine was designed for specific, limited scenarios—not for the large-scale, automated consumption of copyrighted material by generative AI.

It’s not just about storage; it’s about finding the data they need, exactly when they need it. Ingestion and pre-processing capabilities are key to creating this mapping index automatically, parsing noisy, unstructured data into semi-structured & structured and searchable formats. Starting a gen-AI project without knowing where your data is or what it represents, it’s like trying to write a book without knowing the alphabet. Time invested in understanding the topology of where your data lives, the ontology of what it looks like and clearly defined end-user applications to become ‘AI Ready’, will pay dividends.

Gen AI is a godsend to millions of people who struggle with the written word. If there is any public message to send now, it is that we humans must choose whether we want to be augmented or automated by Gen AI. Then I showed her how Gen AI is best used to add colour and texture to a line drawing or sketch, instead of generating a whole new image that the artist cannot control. Generative artificial intelligence like ChatGPT is the norm now; we need to decide how we will use it, says NTU lecturer Ian Tan.

Generative AI also helps design new drugs by simulating chemical reactions. It is also used to create synthetic medical data for research purposes. Furthermore, a lot of fashion brands use generative AI to create unique clothing designs, too.