TL;DR We performed a side-by-side comparison of three models from leading providers in Generative AI for Vision. This is what we found: A recent surve

DALL-E vs Gemini vs Stability - GenAI Evaluation, Part 1

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2024-06-11 21:30:04

TL;DR We performed a side-by-side comparison of three models from leading providers in Generative AI for Vision. This is what we found:

A recent survey conducted by McKinsey [1] shows that one-third of organisations use Generative AI regularly; 40% plan increased AI investment due to Generative AI; 28% have it on board agendas. Major tech giants including Alphabet, Amazon and NVIDIA saw nearly 80% stock growth in 2023 as investor excitement about generative AI prospects surged, benefiting firms supplying AI models or infrastructure [2].

However, widespread deployment of Generative AI increases the risks and vulnerabilities. For instance, a Manhattan lawyer sparked outrage by submitting a ChatGPT-generated legal brief with fabricated content, prompting Chief Justice John Roberts to highlight the risks of large language model “hallucinations” [3] spreading misinformation in his annual federal judiciary report [4].

Even Google’s new AI image generation tool (Figure 2), Gemini, has faced criticism for generating, what is considered for some people, offensive images, such as depicting people of colour for white historical figures. This model failure reflects how easy it is for anyone to question the bias and lack of control in Generative AI systems [5].