What is Generative AI?

What is Generative AI?

Generative AI (Gen AI) is a branch of artificial intelligence focused on creating entirely new content. This could be anything from text and images to code and even music. Powered by AI models and algorithms, it analyzes massive datasets to identify patterns and relationships. These AI models then leverage this knowledge to generate novel content that resembles the data it was trained on. 

The Rise of Generative AI

Generative AI has been around for years, with its roots dating back to the early days of AI in the 1950s. While advancements in computing power and algorithms continued throughout the following decades, the real rise of Gen AI, particularly its ability to create convincingly real content, began in the mid-2010s. An example of a model that has played a significant role in the development of generative AI is the transformer architecture, which became widely used in the foundation models we see today, such as OpenAI’s GPT and Google’s BERT. 

What is the difference between generative AI and traditional AI?

It's important to understand that generative AI and traditional AI serve different purposes. While both play critical roles in various fields, they operate in distinct ways.

Traditional AI is trained for well-defined tasks, excelling in areas like pattern recognition, classification, and optimization, often relying on programmed rules and primarily analyzing existing data. As such, traditional AI may be limited in content creation as they are not designed to generate new content.  

Generative AI, on the other hand, utilizes deep learning techniques to analyze vast amounts of data and extract knowledge for content creation. This allows them to generate original and novel content, making them ideal for tasks like writing, image creation, and code generation.

Related Reading: Unlocking the Future of Enterprise with Generative AI Solutions

What are some generative AI use cases? 

The potential applications of generative AI are vast and constantly evolving. It can be applied in various use cases to generate virtually any kind of content. Here are just a few examples:

-  Sales and marketing: Marketing and sales teams have been quick to integrate Gen AI, leveraging its ability to create original content. Hyper-personalized customer interactions are now possible via generative AI, allowing marketing teams to engage with both existing and potential customers across multiple channels. In sales, generative AI also provides deep customer behavior insights, enabling teams to improve performance and close deals more effectively. 

-  Graphic design and video creation: With its availability to produce realistic images and animation through well-developed prompts, Gen AI can instantly create high quality images and videos with little need for human input. This allows the image and animation processes to be streamlined, expanding the possibilities for visual content creation. 

-  Customer support and virtual assistants: Implementing chatbots specifically for customer service and technical support can help improve customer interactions and search experiences. With the aid of Gen AI, these chatbots can perform multiple administrative tasks in an intuitive and personalized manner, engaging in natural-flowing conversations like human representatives. Additionally, Gen AI can access vast amounts of information to answer queries accurately, delivering a seamless user experience 24/7.

Related Reading: ASUS Answers the Need for an Asian Large Language Model

ASUS Generative AI Solutions

As generative AI continues to reshape the landscape of innovation, ASUS is proud to be at the forefront, providing accessible and efficient AI solutions to empower enterprises of all sizes. One of our key offerings is the Formosa Foundation Model (FFM), the first enterprise-grade large language model in Taiwan designed with enhanced traditional Chinese semantics. 

This powerful tool, trained on a massive dataset encompassing 46 human languages and 13 programming languages, offers a deeper and more accurate understanding of the nuances of local languages, particularly in Asian countries. 

FFM caters to individual enterprise needs by offering multiple open-source models like BLOOM and Llama2. Each model comes with varying parameters, allowing you to choose the one that best aligns with your specific application scenarios and budget. Furthermore, these models can be furthered fine-tuned by ASUS to meet your unique business requirements, ensuring optimal performance for your specific goals. 

One of the many features that FFM offers is FFM Chat. Similar to AI tools like ChatGPT, FFM Chat is an advanced chatbot trained to excel in a variety of natural language processing tasks. Whether you require insightful text generation, or assistance with tasks like article creation, summarization, translation, and even logical reasoning, FFM Chat has you covered.

This is just a brief introduction to the vast potential of ASUS generative AI solutions. To explore the full spectrum of possibilities and unlock the transformative power of AI for your business, please visit: https://tws.twcc.ai/en/