Latest AI trends 2024 Write for Us: Artificial intelligence (AI) is booming, ushering in a new era of technological advancement since the emergence of AI models like ChatGPT. In 2024, the pace of AI development shows no signs of slowing, making it challenging to keep up with the latest trends in the field. This article analyses the seven fastest-growing trends in AI this year, including advances in multimodal AI, tightening AI regulation, the broader adoption of AI in simplified language models, the evolution of virtual agent-based AI, and more.
Multimodal AI
By 2024, multimodal AI will be the most crucial trend in artificial intelligence. Unlike previous models that focused on single modalities, such as AI-generated text, video, or images, multimodal AI combines these capabilities. Similar to how humans can simultaneously process multiple sensory stimuli, these multimodal models can interpret text, convert it to video or audio, and convert back to text, and so on.
Small language models
Small language models (SLMs) are becoming increasingly popular due to their ability to work efficiently with less computational resources than large language models (LLMs). Despite their small size, NLMs contain billions of parameters, allowing them to run efficiently even on compact devices such as smartphones. This accessibility has facilitated the rapid development of intuitive AI applications, as NLM can operate in a browser and does not require significant financial investments.
Customisable generative AI
Another trend in generative AI in 2024 is the development of customizable AI models that meet the needs of market niches and users. Key tools like ChatGPT may be too generic for businesses, but specialised AI systems enable more flexible service customisation. This also contributes to greater privacy and security, as organisations gain more control over their data since it is not shared with third parties.
New use cases
By 2024, AI will have a profound impact on virtually all sectors of the economy. It offers businesses essential benefits such as scalability, increased accuracy, automated repetitive tasks, and faster completion of specific tasks. As a result, this allows employees to focus on more challenging tasks, increasing the efficiency and productivity of the entire organisation. Let’s take a look at a few examples of recent AI trends in various sectors:
Shadow AI (AI in the workplace)
Since the launch of ChatGPT in 2022, there have been various experiments with this technology, especially in the workplace. Shadow AI, the informal use of generative AI tools in the work environment, arose due to employees seeking quick solutions without prior approval or oversight from IT departments. As AI becomes more accessible, this trend is gaining traction.
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