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When ChatGPT launched in late 2022, it awakened the world to the transformative potential of artificial intelligence. The technology underpinning the powerful new chatbot is one of the biggest step changes in the history of AI. Generative AI is able to create something entirely new, including text, images, audio, videos, and synthetic data.
Big tech companies have been quick to jump on the bandwagon, with Google, Microsoft, Amazon, Meta and others all lining up their own generative AI tools in the space of a few short months.
According to Sharad Agarwal, CEO of Cyber Gear, “Did you know that Nike is transforming from a marketing company into a technology brand?My prediction is that every company will soon have to become a ‘Smart Company’ that is powered by AI. The mass adoption of Generative AI happened because of its ease-of-use in improving overall productivity. Whether you’re eight years old or 80 years old, anyone can use ChatGPT.”
Examples of generative AI models include:
ChatGPT: An AI language model developed by OpenAI that can answer questions and generate human-like responses from text prompts.
DALL-E 2: Another AI model by OpenAI that can create images and artwork from text prompts.
Google Bard: Google’s generative AI chatbot and rival to ChatGPT. It’s trained on the PaLM large language model and can answer questions and generate text from prompts.
Midjourney: Developed by San Francisco-based research lab Midjourney Inc., this gen AI model interprets text prompts to produce images and artwork, similar to DALL-E 2.
GitHub Copilot: An AI-powered coding tool that suggests code completions within the Visual Studio, Neovim and JetBrains development environments.
Llama 2: Meta’s open-source large language model can be used to create conversational AI models for chatbots and virtual assistants, similar to GPT-4.
xAI: After funding OpenAI, Elon Musk left the project in July 2023 and announced this new generative AI venture.
Cyber Gear has documented 450 AI Tools to help organisations become smarter. Every knowledge worker has the potential to use these technologies to increase their productivity.
To realize quick returns, organisations can easily consume foundation models ‘off the shelf’ through APIs.
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