Three AI Trends to Watch out for in 2024

Three AI Trends to Watch out for in 2024

AI is continuing to evolve rapidly in 2024, with several key trends shaping the field. Here are three of the most interesting:

There’s no doubt that 2023 was a watershed moment for generative AI. This technology, capable of creating entirely new text, images, and even code, took center stage with a bang.

AI trends to keep an eye on in 2024.

1. Small Language Models (SLMs) Democratising AI:

Large language models (LLMs) have grabbed headlines for their impressive capabilities, but their complexity and resource requirements limit accessibility. SLMs are smaller, less resource-intensive cousins of LLMs. This makes them ideal for deployment on a wider range of devices and for integration into various applications. Imagine having a virtual assistant that can fit on your phone and still answer your questions in a comprehensive way, thanks to SLMs.

2. Multimodal AI Understanding Our World:

Traditionally, AI models have been trained on single data types, like text. Multimodal AI takes things a step further by processing information from various sources like images, audio, and video. This allows for a more nuanced understanding of the world. For example, a multimodal virtual agent might not just respond to your question about a recipe, but could also analyze a picture of your fridge and suggest dishes based on available ingredients.

3. AI as a Scientific Powerhouse:

AI is increasingly being used as a tool to accelerate scientific discovery. From analyzing vast datasets in drug research to optimizing farming practices, AI is proving to be a valuable partner in tackling complex problems. In the fight against climate change, AI could be used to analyze weather patterns and develop more effective strategies.

These trends highlight the growing sophistication and reach of AI. As AI becomes more accessible and integrates with different data types, we can expect even more transformative applications to emerge in the coming years.

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