The Surprising Rise of “Tiny AI”
How Small Generative Models Like H2O-Danube-1.8B Are Democratizing AI
The advent of large language models (LLMs) like GPT-4 ushered in a new era of advanced AI capabilities. However, the immense computational requirements of such models have traditionally made them inaccessible to most developers and organizations. This is now changing with the emergence of small generative AI models.
Dubbed “tiny AI,” compact yet powerful models like H2O-Danube-1.8B, Vicuna, Koala, Alpaca, and TinyLlama are bringing advanced generative abilities to the masses. Requiring modest computational resources, these small LLMs are reshaping the AI landscape by making AI more inclusive, innovative, and impactful.
The Democratization of AI
The most significant contribution of small AI models is their role in democratizing AI. By drastically cutting training and deployment costs, tiny AI places advanced capabilities into the hands of a broader audience. This includes individual developers, academics, startups, non-profits, and small-medium businesses.
For instance, models like H2O-Danube-1.8B can run efficiently on basic hardware like a single GPU. Unlike large models necessitating hundreds of GPUs or TPUs costing millions of dollars, tiny AI models…
