Artificial intelligence is currently all the rage with applications like chatGPT, Bard copy.ai, DeepMind, and Mid-Journey. But do you know what is under the hood of these applications? To start, all these popular tools are examples of generative AI. Generative AI is AI that is designed to generate new data or content by learning patterns and structure within the existing data, and then using this knowledge to generate new information.
The key point is to generate, thus its purpose is to create something new. This has implications in various fields, from art to business to healthcare. However, generative AI also has its limitations. The quality of generated outputs may be too low for use, and the AI may hallucinate and provide an output that is not in agreement with its training data. Additionally, generative AI output is generally similar but not identical to the training data, limiting its scope and creativity.
Despite these limitations, generative AI has immense potential. It is being used in various applications such as dish gen AI chef, interior AI architect, and chatGPT. These applications simplify and improve our lives by generating new ideas, designs, and solutions. They can plan meals, suggest recipes, redesign homes, create personalized bedtime stories, provide DIY home repair knowledge, and even aid in product discovery.
Generative AI is based on foundation models, which are large-scale adaptable AI models. Examples of foundation models include GPT-4, DALL-E, Stable Diffusion Bloom, and BERT. These models are trained on massive datasets using unsupervised learning, and then adapted to a wide range of downstream tasks. However, the computational requirements for generative AI can be immense, requiring large amounts of data and computational resources for training.
In conclusion, generative AI is a powerful tool with the potential to revolutionize various industries. It allows machines to generate new and creative content, but it also has its limitations. By understanding the potential and limitations of generative AI, we can harness its power and create innovative applications that enhance our lives.
