Generative AI tools, such as OpenAI’s ChatGPT and DALL-E, revolutionize how we interact with and create content. These tools use artificial intelligence to generate realistic text and images, opening up a world of possibilities for everything from creative storytelling to marketing and advertising.
However, the growing prevalence of these tools also raises important questions about their impact on society, including concerns about ethics, privacy, and the role of human creativity in a world dominated by machines.
Seven years ago, CNET asked its readers to come together and compose a science fiction novella. This collective effort took several months and was accomplished with the help of many volunteer writers and editors from various countries.
Using ChatGPT and other generative artificial intelligence tools, creating a lengthy, cohesive story in hours – or even minutes with the right prompts is possible. These have become incredibly popular over recent months.
It’s even more unbelievable that the illustrations made by CNET artists and others for our crowdsourced novella from back then could now be carried out in mere minutes with the help of AI programs such as Dall-E 2, without anybody being able to tell the difference (the secret is not to focus on the finer details — more information on this will follow).
ChatGPT has become one of the most popular innovations in recent memory. It is utilized for various tasks, including writing emails, cover letters, and even school projects. The speed at which it has been adopted is nothing short of extraordinary.
At the same time, similar models can be used to produce images in a wide range of styles, videos, and audio.
Generative AI has been generating quite a buzz lately, rivaling even Siri and the iPhone. Keeping up with all that news can be overwhelming, so here’s a quick guide to get you up to speed on everything related to generative AI.
What Is It?
Even though some Google engineers may say otherwise, OpenAI’s ChatGPT and Microsoft’s Bing bot known as Sydney are unaware. We have not arrived at this point through magic or a sinister plan to control everyone; rather, it is due to hard work and technology.
Rather, it results from complex calculations, programming, libraries full of information, and enormous computing power.
Platforms are built on what is known as a Large Language Model (LLM) and sometimes called Generative Language Models or Transformer Language Models, of which GPT in ChatGPT stands for “Generative Pretrained Transformer.”
Machine learning systems can analyze huge amounts of data, typically taken from the web, and detect patterns and correlations. This data is referred to as training data.
ChatGPT only requires text data sets; however, image generators like Dall-E, Stable Diffusion, and Midjourney require many images to be seen by the model to learn what they are. Such models still rely on language as captions accompany the images.
Neural networks, machine learning systems that can be trained using vast amounts of data and then generate insights from the patterns they identify, have been around for some time.
Generative systems made public in the past year can learn by themselves. They are also paired with a second neural network which reverses the process and creates content, which is then checked using the first neural net to ensure it fits the prompt given.
Essentially, you provide a prompt to ChatGPT or Dall-E, and they will generate a reply by forecasting the next word (or pixel for an image) based on all the patterns and correlations gathered from their training data.
Generative AI tools like ChatGPT and Dall-E revolutionize how we interact with technology. These tools, powered by deep learning algorithms, enable machines to generate content almost indistinguishable from human-created content. From conversational agents to image creation, generative AI tools make it easier for individuals and businesses to create content more efficiently and cost-effectively.
While the benefits of generative AI tools are clear, some concerns exist about their impact on employment and privacy. As these tools evolve and become more accessible, individuals and organizations must stay informed about their potential risks and benefits.