5 Cutting-Edge Generative AI Trends

In 2023, the landscape of technology witnessed a significant shift with the widespread adoption of generative AI. As 2024 proceeds, the generative AI scene is poised for rapid evolution, introducing a variety of trends set to reshape technology and its applications.

These trends, spanning advancements in multimodal AI models to the prominence of small language models, will not only mold the technological panorama but also redefine the way we interact, create, and understand the potential of AI.

Let’s delve into the top generative AI trends anticipated for this year:

Emergence Of Multimodal AI Models:  The likes of OpenAI’s GPT-4, Meta’s Llama 2, and Mistral showcased advancements in large language models. Multimodal AI models take it a step further by enabling users to blend content from various sources like text, audio, image, and video to prompt and generate new content. This approach involves leveraging diverse data types such as images, text, and speech with advanced algorithms for predictions and content generation. In 2024, we expect significant evolution in multimodal AI, bringing about a transformative shift in generative AI capabilities.

Capable And Powerful Small Language Models:  If 2023 was characterized by large language models, 2024 is poised to spotlight the prowess of small language models (SLMs). Trained on more limited datasets consisting of high-quality sources like textbooks and authoritative content, SLMs offer comparable content quality to their larger counterparts with a fraction of the size and resource requirements. Microsoft’s PHI-2 and Mistral 7B are promising SLMs set to drive the next wave of generative AI applications, offering enterprises the ability to tailor models to specific tasks and domains, meeting legal and regulatory requirements.

The Rise of Autonomous Agents:  Autonomous agents represent an innovative approach to constructing generative AI models. These self-sufficient software programs are designed to achieve specific objectives without human intervention. Utilizing advanced algorithms and machine learning techniques, autonomous agents learn from data, adapt to new situations, and make decisions with minimal human involvement. In 2024, expect new frameworks leveraging multimodal AI for building autonomous agents that enhance customer experience across various industries like travel, hospitality, retail, and education.

Open Models Comparable with Proprietary Models:  Open, generative AI models are projected to evolve significantly in 2024, narrowing the gap with proprietary models. Meta’s Llama 2, Falcon 180B, and Mistral AI’s Mixtral-8x7B gained popularity in 2023, showcasing performance comparable to proprietary models. The future will witness the release of new iterations from Meta, Mistral, and potentially new entrants, providing enterprises with viable alternatives to proprietary models, available as APIs.

Cloud Native as Key to On-Prem GenAI:  Kubernetes is already the preferred environment for hosting generative AI models, with major players like Hugging Face, OpenAI, and Google leveraging cloud native infrastructure. In 2024, we anticipate the maturity of frameworks and tools running on Kubernetes to manage the entire lifecycle of foundation models. Cloud native ecosystem players will offer reference architectures, best practices, and optimizations, making it easier for users to pre-train, fine-tune, deploy, and scale generative models efficiently.

As we move through 2024, generative AI is set to undergo rapid advancements, unveiling new and surprising capabilities that will prove beneficial for both consumers and enterprises alike.