Explainer: What is Generative AI, the technology behind OpenAI’s ChatGPT?
For instance, a company developing an AI model to detect rare diseases could use generative AI to create synthetic patient data. This can save time and resources, enabling businesses to focus on strategic tasks. For instance, an online publication could use generative AI to draft Yakov Livshits articles on a variety of topics. The AI could analyze trending topics, gather relevant information, and create a draft article, which can then be reviewed and edited by a human writer. This technology can be used in various sectors, including entertainment, fashion, and design.
- Most of today’s foundation models are large language models (LLMs) trained on natural language.
- Generative AI is an exciting new technology with potentially endless possibilities that will transform the way we live and work.
- Training involves tuning the model’s parameters for different use cases and then fine-tuning results on a given set of training data.
- Arguably, because machine learning and deep learning are inherently focused on generative processes, they can be considered types of generative AI, too.
- If we have made an error or published misleading information, we will correct or clarify the article.
- AI is certainly becoming more capable and is displaying sometimes surprising emergent behaviors that humans did not program.
” Large language models (LLMs) are one type of generative AI since they generate novel combinations of text in the form of natural-sounding language. And we can even build language models to generate other types of outputs, such as new images, audio and even video, like with Imagen, AudioLM and Phenaki. Yakov Livshits Through an adversarial training process, the generator improves its ability to create realistic images that fool the discriminator. VAEs, on the other hand, learn a compressed representation of the images called the latent space and generate new images by sampling points in this space and decoding them.
What is Generative AI: Definition, Examples, and Use Cases
Secondly, there are generative AIs capable of creating images from prompts (texts entered by the user). For example, Midjourney, the direct competitor of DALL-E generates high quality images through the Discord platform. Generative AI is a branch of deep learning and makes it possible to create original content. This technology has revolutionized AI by allowing computers to learn from raw data.
It can detect even subtle anomalies that could indicate a threat to your business and autonomously respond, containing the threat in seconds. Bing AI is an artificial intelligence technology embedded in Bing’s search engine. Microsoft implemented this so that users would see more accurate search results when searching on the internet.
One caution is that these techniques can also encode the biases, racism, deception and puffery contained in the training data. Moreover, innovations in multimodal AI enable teams to generate content across multiple types of media, including text, graphics and video. This is the basis for tools like Dall-E that automatically create images from a text description or generate text captions from images.
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.
However, their AI has also managed to successfully generate an image that demonstrates a bit of a scary and suspenseful future of artificial intelligence. Generative artificial intelligence has seen an incredible popularity surge in 2022. Big Think has called it ‘the technology of the year’, and judging from the amount of attention and VC support generative Yakov Livshits AI startups have been gaining this year, this claim is more than justified. Moreover, tech experts say that in the next few years, not only will the development of generative AI not slow down but will also rapidly increase, conquering new and new fields. As we already mentioned NVIDIA is making many breakthroughs in generative AI technologies.
Generative AI could work in tandem with traditional AI to provide even more powerful solutions. For instance, a traditional AI could analyze user behavior data, and a generative AI could use this analysis to create personalized content. On the other hand, traditional AI continues to excel in task-specific applications. It powers our chatbots, recommendation systems, predictive analytics, and much more. It is the engine behind most of the current AI applications that are optimizing efficiencies across industries. Generative AI is used in various fields such as text, image, music and video generation.
Technology companies are moving quickly to integrate generative AI into productivity applications. For instance, Microsoft is integrating ChatGPT throughout its applications, Salesforce is doing the same and Slack has plans to use generative AI and consumer apps from the likes of Redfin and Zillow are doing the same. When you consider search engines such as Microsoft’s Bing and Google have generative AI plans it’s likely that most of the software you touch will have ChatGPT or a similar technology embedded. Consumers are likely to only engage with what you sell if they are aware of it or what you do.
The rise of deep generative models
Learn about generative AI from 100+ speakers and 200 AI leaders, and know their perspective towards the future of AI. The 4 day summit will feature 8+ workshops, 30 hack sessions, and 70 power talks. It has the participation of over 400 organizations, making it a significant event in AI. In industrial settings, generative AI has several uses, particularly in the production and design of products. Engineers can produce more effective and economical designs while reducing the time and resources needed for developing products by employing generative AI for developing things.