to appear. And, artificial intelligence (AI), machine learning (ML), or natural language processing (NPL) systems seem to be the mainstream subject when it comes to new technology.
And, it makes sense! Artificial intelligence (AI) is here to make our lives easier and we seem to get used to it. After all the year 2023 was an important mark for the evolution of artificial intelligence (AI) and generative AI. It was everywhere and everyone seemed to either love it or hate it, there was nowhere in between. Generative AI became mainstream and slowly became integrated into the technology we use in our daily activities. Finding new integrations and applications, ranging from the evolution of multimodel AI capabilities to redefining interactions and the power to create with the help of artificial intelligence (AI).
What is Generative AI?
Simply put, generative AI is here to help us generate content, with the help of artificial intelligence and machine learning (ML), based on our preferences and inputs. So, with the new technology used by generative AI we now how endless possibilities when it comes to creating original content. You will only be required to fill in a text prompt, and the machine-learning mechanism will do the rest of the work for you. And, the best part…it can create more than just text. The outputs created by a generative AI mechanism can be either text, images, sounds, 3D models, or other types of data that you can think of.
So, let’s get deeper into the capabilities of generative AI and the trends expected for 2024 in generative AI.
Trends in Generative AI
Multimedia AI
Generative AI is no longer just about text. With the help of generative AI, we can create images, sounds, and more, giving users the opportunity to create more complex content using texts, sounds, images, and videos. Multimedia AI is only possible with the advancement of generative AI algorithms, in 2024, this type of generative artificial intelligence is expected to explode, creating a more intuitive, accessible, and intuitive experience. ChatGPT4-V is a great example of the use of multimedia generative AI. Yet, we need to mention that is available only for the chatGPT Plus users.
Small Language Models
After 2023, the year of large language processing it is now time to make the switch to small language processing models. And, if you are not familiar with the terminology, well, AI generative systems such as chatGPT are created with the help of large databases. The information from big databases is extracted from public servers and millions of public websites and platforms, hence the inputs it generates as the responses. Even though large databases are part of the process of development in natural language processing, the switch to small language models is made in order for the generative AI platforms to offer more reliable and higher-quality answers.
With the help of small language processing models, we can also integrate them into enterprises and train them according to our company’s needs. With the integration of these types of language processing models, we could get tasks done more efficiently and easily, but it can also be used for onboarding programs.
Open Generative AI
Another trend that is expected in 2024 is the rise of open generative AI. Open generative AI models are expected to be the next hit, as they are predicted to have similar capabilities to proprietary models. The gap between proprietary and open generative AI models is thought to be shrinking, offering companies opportunities to host generative AI models.
The Increased Usage of Services that Use Generative AI
As you might already expected, the use of generative AI will take over services, apps, and digital interfaces. Their purpose is to create a better user experience and generate a flawless experience. Recent researches show that almost half of the available enterprise apps will have generative AI ferrets in order to make our lives easier. After all, who doesn’t want a better user experience? So, integrating generative AI into their list of offered services seems to be the best solution.
Think about it…In industries such as healthcare, generative AI can play a big role. It can help automate administrative tasks by completing appointments, keeping a record of the documents used and it can even automate and generate billing and offer image enhancement.
And, the healthcare industry is not the only one that can benefit from the usage of generative artificial intelligence. The educational system can also profit from the use of generative artificial intelligence. It can be used to generate possible situations, offer responses to certain responses, and even generate notes and personalize the whole learning experience.
Autonomous Agents
With the help of generative artificial intelligence, we can create software programs that have the capability to resolve certain tasks on their own. With the help of machine learning mechanisms and natural language processing systems, we now have the ability to transform what once was a scene from movies into reality. Autonomous agents can be developed with the capability to adapt and make human-like decisions based on the information they are fed. And, OpenAI, the creator of chatGPT, had made it real. This kind of autonomous agent have the ability to predict, take action, and make certain actions based on specific situations. We will certainly see more and more autonomous against in 2024, especially in fields such as travel and customer service.
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