2024 will see the advent of multi-modal AI models, and we will see the evolution of the LLM as a collaborative tool.
Generative AI saw explosive growth in 2023 as a new breakout technology. It was unique in the fact that during this time, it managed to capture the attention of both tech-driven individuals and future-thinking groups, but mainstream audiences as well with the ability to create human-like content.
In this article, we will be touching on what trends to expect within 2024, as well as their business applications.
AI as a collaborative partner/employee
AI has and will continue to alter the dynamic between humans and technology within the workplace. Throughout 2023, we saw this change for tasks such as content creation (this blog post was proofread using an LLM). This coming year, we will see a much broader adoption of the use of AI with a focus on analytics, document comparison, and automation of code generation, including debugging, providing insights into data for project management, HR assistants, and more.
These advancements will all cause a redefinition in job roles and responsibilities. All of the above use cases have been explored within Allganize, and workflows have been created for clients. We have seen a considerable spike in productivity with the given insights, and the overarching theme of AI’s analytical capabilities with human creativity is reshaping the landscape of professional environments.
While we are ahead of the curve, we have seen that a strong emphasis must be placed on giving training programs and consulting with the clients for proper prompting, model selection, and proper scoping of use cases to utilize current AI LLM capabilities fully.
Multi-modal AI models
The first generation of generative AI models have all focused on specific capabilities. Some models are better at generating text, math equations, analytics, and images. Over the next 12 months, I believe we’ll see the advent of multi-modal AI models. They will be characterized by their ability to process text, visuals, and audio simultaneously to allow more seamless work and human-like behavior. We are already seeing the product of this with the new introduction of OpenAI’s GPT4 Turbo Vision as well as Google’s Gemini LLM which is a direct response and competitor for OpenAI and chatGPT. Both models are the beginning of the advanced processing of multi-modal models.
While we already have the ability to create tailored LLM applications that automate workflows, perform specific tasks, and allow the client to choose their preferred LLM, the introduction of multi-modal models will advance these capabilities even further and Allganize is in the process of adding support for multi-modal models.
Generative AI-augmented apps and services
This trend falls directly in line with our offerings. According to AIM, by 2024, 40% of enterprise applications will come with conversational AI embedded. We are already seeing this happen with Microsoft introducing their Copilot preview within Windows and other developers who are working as fast as they can to build and introduce chatbots and other conversational interfaces.
Creating these tailored and custom chatbots is a solution we have been offering within a no-coding UI since 2017. Now, with the introduction of these LLM models, we have taken advantage of their conversational aspects and have combined them with a proven product that allows anyone to be able to build out a chatbot or custom LLM application to help enhance engagement and customer experience. I believe we will see a trend of chatbots and LLM apps within 2024 for most new software developments to continue this engagement.
Generative AI in schools and education
This can be a controversial topic, similar to how it was with the introduction of computers or calculators in the classroom. Many saw it as a step backward, as it was believed students would rely too heavily on technology and would not be able to solve problems without it. We saw an overall improvement in student engagement and problem-solving capabilities at a younger age.
I believe the same will happen with generative AI in the classrooms. This is a use case that we are currently working on, by providing students with an AI tutor that can help with math problems and basic 4th/5th grade level subjects. AI allows all students to get the help they need at the pace that works best for them, whenever they need it. Teachers and lecturers, meanwhile, will grow used to using it to generate notes, reports, lesson plans, and course summaries. Multi-modal models will also allow the creation of audio and visual course assistants.
In conclusion, the year 2024 is poised to witness significant strides in generative AI shaping industries, workplaces, and education in ways that foster collaboration, efficiency, and enhanced user experiences. At Allganize, we strive to be at the front of the pack and help clients navigate this new frontier.
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