Introduce the term “generative AI” into casual conversation and expect a range of responses. For some, generative AI promises to revolutionize creativity and productivity in astonishing ways. Others fear the loss of jobs, the potential for increased cyber threats, or bias and invasion of privacy.
Generative AI will revolutionize productivity and innovation in many positive ways. It will also change some jobs, and threat actors already use it to manipulate and misinform. Additionally, like all emerging technologies, there are ethical considerations to consider. Regardless, the technology has arrived, and it has great potential for good when used wisely.
Three of the most well-known generative AI models include Microsoft Copilot, Google Bard, and ChatGPT. While all three interfaces remain under constant development, this post offers a brief introduction and comparison.
In the past year, Microsoft has begun making good on its promise to deliver AI capabilities throughout its product suite. Consequently, it offers various flavors of generative AI, from the free version (also known as Bing Chat) to GitHub Copilot and the subscription-based Microsoft 365 Copilot.
Microsoft Copilot currently generates text, code, and images. It also serves as a useful research tool. And Microsoft recently announced a new plugin for Bing Chat that will generate music.
Strengths
Limitations
While Copilot hit the ground running, Bard lagged behind for a while. However, recent developments show it catching up and developing some impressive capabilities. Users currently access Bard for free primarily through the Chrome browser, although Google is exploring wider availability.
Bard currently generates text, code, and images. It also serves as a useful research tool. And Google recently launched a beta of MusicLM that allows music generation.
Strengths
Limitations
An early leader in the generative AI space, ChatGPT continues to shine as a conversational agent and a creative assistant. Users can access both a free version and a subscription version either through the OpenAI website or through a mobile app on iOS or Android.
ChatGPT currently generates text and images. While not designed for coding, it can generate snippets of code in certain circumstances.
Strengths
Limitations
Businesses currently use generative AI to drive efficiency and innovation. For instance, airports use AI to enhance identity verification systems. Customer service chatbots offer personalized assistance. And generative AI works well for creating realistic audio with text-to-speech generation.
However, organizations should do their homework and learn the risks before fully embracing AI. For instance, the content generated through AI may prove inaccurate or biased, potentially contributing to data compliance issues. And the use of AI opens yet another doorway for threat actors to exploit.
Use the information in this post to determine which generative AI engine works best for you. And working with technology experts like eMazzanti enables organizations to determine the most productive use cases. Tap their expertise to implement effective cyber security and information governance controls, to reduce the risks involved.
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