Decoding the Differences: Contrasting Characters of Gen AI and Traditional AI Models

When discussing AI, I always find that the industry is still partially mystified about the capabilities of Gen AI and Traditional AI models. Both paradigms are formidable in their own game, with unique strengths and applications. To leverage their maximum potential, first, there needs to be a strong understanding of their differences.

Currently, only 30% of the industry leaders possess a meticulously curated roadmap to making things possible with Gen AI.

Since its inception, Nuvento Inc has been dedicated to demystifying AI Models, channelling it into interactive applications. In this blog, walk with me through the purposes, applications, and functions of Generative and Traditional AI models, to get a clear and nuanced understanding of their differences.

The Purpose and Functions

As someone deeply invested in AI, I have observed that the Gen AI ascension has drastically transformed many of our industries. The primary design of Generative AI is for content generation. It can be trained with data, and generate excellent outputs based on the trained data.
Take the example of GPT-4, where the AI model creates texts that are very similar to human content. Based on the descriptions given as text, DALL-E can generate images on its own. There are Gen AI models that can even compose music and design apparel.

At Nuvento, our Gen AI models has been running with a rate of 60% faster in content curation, compared to traditional counterparts.

When it comes to Traditional AI, it is more inclined to perform tasks such as optimizing, predicting, and classifying data. These Traditional AI models can identify specific patterns by analyzing data, and make predictions according to these identified patterns. Think of traditional AI as a problem solver rather than a content creator!

As per a report by Gartner, it is interesting that within 2025, predictive analysis will sweep off 75% of the AI investments.

Differences in Model Types

The types of models that we encounter under Gen AI include Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformer-based architectures. They are more sophisticated than traditional AI algorithms. Models like GPT belong to transformer-based architectures and they can effortlessly understand and generate natural languages.
On the other side, Traditional AI has models like Support vector machines (SVMs), decision trees, etc. You can use these models for predicting prices, to detect spam, to segment customers, etc. They are mainly employed for classification, regression, and clustering tasks. If you are focusing on completing predefined functions with efficiency and accuracy, traditional AI models can help you.

Applications of Gen AI and Traditional AI

From recent use cases, I see Gen AI as a powerful tool that can remarkably revolutionize different fields.

Nuvento has helped an American P&C insurer to boost their sales by 40% and transformed their lead generation, and enhanced customer experience with Conversational AI.

Click Here to Read More – Nuvento Gen AI

Interactions between Humans and AI

Generative AI act as your Digital Agents and amazingly collaborate between humans and machines, by complementing humans. They work together to achieve creative goals. Meanwhile, Traditional AI supports the user in repetitive tasks and lessens the time spent on decision-making by performing data analysis to provide valuable insights and predictions.

Docketry.ai is launching its AI Powered Digital Agents soon. Watch this space for updates 

As an AI Enthusiast, I confidently recommend leveraging Traditional AI for task-oriented applications that involve decision-making. For creative domains, Gen AI offers expansive potential in content creation. By strategically employing both AI types according to your business needs, you can achieve optimized results and drive innovation across your operations.
Nuvento “Makes the NU Possible” with the power of Hyper Automation (RPA + AI+ Data) to harness the transformative power of AI. We utilize AI to craft smarter, more efficient, and innovative solutions, redefining possibilities in business and technology.
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