In the two months since its release to the public, ChatGPT just might be the most popular AI-powered chatbot in history. Still, the generative AI technology at the heart of this natural language processing and generation tool isn’t the sole property of ChatGPT’s creator, OpenAI. In fact, considering ChatGPT’s promise to increase productivity of software developers and other creative technical professionals more productive, it stands to reason other alternatives might make a similar impact.
Chatbots are one of the more widely-used AI-powered applications transforming the business world. For example, businesses in multiple industry sectors leverage the tool to provide customer service to their clients. This strategy ultimately allows human representatives to focus on more value-added work, typically involving direct communication with customers. In short, the market for ChatGPT and similar tools remains promising.
So let’s take a closer look at the current generative AI application landscape. We provide a high-level overview of the current scene with coverage of a few of the alternatives to ChatGPT. Ultimately, might ChatGPT become this century’s Alta Vista, a once popular search engine that ended up being crushed by a small startup known as Google? In the technology industry, nearly anything is possible!
Generative AI is an area of artificial intelligence focusing on the automated creation of content. It sometimes involves some form of text, which might be an article, an application’s source code, a chatbot conversation, or even poetry. Translating textual content between different languages also remains a leading use-case of this AI-based technology. Additionally, many consider the automated creation of music, videos, and images to be other forms of generative AI.
This still emerging technology relies on highly trained machine learning models that leverage massive amounts of data. In fact, the GPT-3 model used in ChatGPT boasts 175 billion parameters, which gives it the ability to generate high-quality content in a variety of formats. Obviously, the various ML models used serve as a differentiator for the quality and functionality of each generative AI tool, although GPT-3 remains popular with many.
Another interesting use-case for Gen AI involves tailoring personalized content based on a user’s preferences. This might include music recommendations, news articles, and targeted online advertising. Of course, similar functionality has existed for the past few years, especially the targeted ads that made Google and Facebook tech industry giants. Generative AI offers the potential to make this type of content generation more personalized and effective as a result.
As noted earlier, generative AI, chatbots, and natural language processors are not the sole domain of ChatGPT’s creator, OpenAI. In fact, this transformative technology boasts so much potential that a variety of interesting alternative use-cases exist. Remember, this technology boasts the ability to automatically generate content beyond text, including music and video.
We already talked about algorithmic composition in music. While less altruistic use-cases in this arena attempt to bypass human songwriters and instrumentalists, others serve more as an assistant. This offers a similar approach as with ChatGPT making programmers or writers more productive as opposed to replacing them.
Generative AI in video or images also relies on machine learning models that consume massive amounts of data. Not surprisingly, video requires much more data compared to music and especially text. Still, all this information provides the capability to create images and animations with a wide range of use-cases.
As an example, Peter Jackson’s recent Beatles movie, Get Back, leverages generative AI to enhance both the film quality and music engineering found in the final product. Jackson’s company even licensed his AI-powered audio technology to Giles Martin’s team for last year’s remix of The Beatles’ classic album, Revolver.
Not surprisingly, Generative AI applications for business abound, including the chatbot use-cases already highlighted by ChatGPT. Other intriguing ideas include automated report generation, data entry, and even basic data analysis. Of course, the FinTech movement in the financial industry relies on Gen AI for automated trading and investment portfolio management. Once again, a common benefit involves letting human employees focus on more critical tasks.
If you want to explore some ChatGPT alternatives leveraging generative AI, a few interesting options exist. For example, Chatsonic uses the same GPT 3.5 technology as ChatGPT. This tool’s main differentiator compared to OpenAI’s tool involves using Google’s Knowledge Graph to access more recent data, where ChatGPT offers no information beyond 2021. Interestingly, it also boasts the ability to generate digital art.
YouChat also uses GPT 3.5 and provides the look and feel of a traditional web search interface in addition to chatbot functionality. When they talk about ChatGPT replacing Google someday, YouChat might be a better fit for that use-case. However, this tool also suffers from ChatGPT’s inability to use any data after 2021.
If you want to explore a great business idea using generative AI, connect with the technology experts at NineTwoThree. We boast machine learning and AI development skills, keen business acumen, and experience working with businesses from startups to enterprises. Contact us to discuss a potential fruitful partnership.
