4 Generative AI Trends Can Shape The Future in 2023

Currently, AI has been mentioned uncountable times as the innovation of the contemporary era with rich material and potential to exploit. As a technology profession, the generative AI field is a competitive and fast-paced market with AI trends updated regularly and even unexpectedly. Furthermore, AI, besides its function as a machine learning tool with tasks like answering questions, translation, or creation. It should be perceived beyond this limit with broader exposure. Thus, generative AI trends matter significantly and are utilized for the customer experience ecosystem.

Its popularity is undeniable by governments and businesses spend on AI technology $500 billion in 2023, according to IDC research. But how will it be used, and what impact will it have? Instead of merely understanding, let’s see through the breakdown of generative AI trends.

What is Generative AI?

Generative AI algorithms utilize pre-existing data to generate completely novel content that has never before physically existed. The forms are videos, images, sounds, or even computer code. Among AI trends, this one is pretty common with the emergence of chatbot, especially chat GPT and capable of creating text and prose close to being indistinguishable from that created by humans. Similarly, we also have Fliki, Super Creator for making video, or Midjourney, Rocket AI for creating images.

It’s anticable that its usage will be beyond the scale of individuals or small enterprises to the bigger businesses with a wider range of tasks. In 2023, we can see it used increasingly frequently to create synthetic data that can be used by businesses for all manner of purposes. Using synthetic audio and video data can eliminate the need to film and record speech on video. Workers can simply type what they want the audience to see and hear into your generative tools, and the AI will create it accordingly.

Accordingly, here is some generative AI trends worth noticing:

Multi-Modal Models Trend

If you are working with only one source of information, it is easier to train the AI. However, the results may lack context or supporting information, leading to skewed outcomes. In multimodal AI, two or more streams of information can be processed together. Then, it allows the software to have a better understanding of what it is analyzing. This generative AI trend will help the interaction with AI like humans with full sense.

Most generative AI tools, algorithms, and language models (LLMs) specialize in simulating one form of expression, such as language, visuals, or sounds. However, there is a growing trend towards “multi-modal” generative AI. The upcoming version of OpenAI’s ChatGPT is an example. It will have the ability to understand and interpret images, as well as respond to voice commands. Meta has also demonstrated a model that can combine images, text, audio, depth, and motion data. This approach is expected to become more common in the coming year. Additionally, it will soon be normal to have conversations with AI about pictures or videos. This is similar to how we interact with text today.

> Related: Generative AI: What Does It Mean for Security?

Autonomous Generative AI

Autonomous Agents are a type of generative AI application. It can operate independently by continuously generating and responding to prompts. Unlike chatbot-style generative agents that rely on user instructions, autonomous agents can perform more complex tasks.

An example of an autonomous agent that gained prominence in 2023 is AutoGPT. It is a Python application that is still in the experimental phase and is available as an open-source project. It utilizes GPT-4 to operate independently, requiring minimal human intervention. One notable feature of Auto-GPT is its ability to prompt itself and carry out tasks autonomously. In 2024, we anticipate further advancements in this field as AI engineers strive to develop “generalized” AI capable of adapting to various tasks assigned to it.

Trend in Prompt Engineers In High Demand

Apart from inward generative AI trends, this one reflects more of the workforce aspect. According to the website AI Breakfast, jobs related to generating AI prompts have existed for a while. However, they have become increasingly common and financially rewarding. Many companies are now hiring individuals known as “AI prompt engineers” or “prompt engineers” to develop technologies and solutions focused on ChatGPT and other generative services.

Searching on LinkedIn, it is apparent that numerous Indian organizations are also looking for “prompt engineers.” One such example is GrabOn, headquartered in Telangana. This aims to recruit a prompt engineer responsible for developing machine learning models to analyze collected data, evaluating the performance of AI prompts, and assisting other team members in generating AI prompts tailored to their needs.

Generative AI-Augmented Apps And Services

According to AIM Research, a notable projection suggests that by the year 2024, a significant 40 percent of enterprise applications will incorporate conversational AI as a built-in feature. This development is already evident in the industry as major developers, such as Microsoft and Adobe. They are eagerly embracing the integration of chatbots and natural language interfaces into their platforms. The race to incorporate conversational AI highlights the growing recognition of its potential to enhance user experiences and streamline interactions between customers and applications.

An illustrative example of this trend can be Snapchat. It has introduced a generative AI bot that users can add to their contact lists. This AI bot serves as a virtual companion, offering users the ability to seek answers to their inquiries or simply engage with it as a friendly presence. This demonstrates how conversational AI is becoming a commonplace feature that enhances user engagement and interaction.

Looking forward to 2024, it is expected that the integration of chat interfaces will become a prevalent strategy among app sellers. Consequently, the integration of conversational AI into app interfaces is poised to become one of the generative ai trends driving improved user experiences in the years to come.

Editor: AMELA Technology