Upcoming AI tools using generative AI
Generative AI, which involves using machine learning algorithms to generate new data or output based on existing data, is an area of artificial intelligence that is rapidly evolving. Here are some upcoming AI tools that utilize generative AI:
DALL-E: DALL-E is a generative AI model developed by OpenAI that is capable of generating images from textual descriptions. For example, given a prompt such as “an armchair in the shape of an avocado”, DALL-E is able to create an image that matches the description. This tool has potential applications in fields such as design and architecture.
Copycat AI: Copycat AI is a generative AI tool developed by researchers at MIT that is capable of creating new designs based on existing ones. The tool works by analyzing an existing design and then generating new designs that are similar but not identical to the original. This has potential applications in fields such as fashion and industrial design.
DeepDream: DeepDream is a generative AI tool developed by Google that is capable of generating surreal and abstract images. The tool works by analyzing an existing image and then generating new images that exaggerate certain features of the original. This has potential applications in fields such as art and advertising.
GPT-4: While ChatGPT is one example of a generative AI tool, its successor, GPT-4, is an even more powerful model that can generate natural language text that is virtually indistinguishable from that written by humans. GPT-4 has a wide range of potential applications, including content creation, chatbots, and even coding.
AI Dungeon: AI Dungeon is a generative AI tool that uses natural language processing to generate text-based adventure games. Players input their actions and the tool generates new scenarios based on those actions. This has potential applications in fields such as education and entertainment.
As generative AI continues to advance, we can expect to see even more tools and applications emerge that utilize this technology. These tools have the potential to revolutionize fields such as art, design, and entertainment, and may even have significant implications for how we interact with technology in our daily lives.
