Multimodal and miniaturized models will receive more attention, applications may explode


The development of AI has gone through several highs and lows, but with the improvement of computing power, the accumulation of big data, and the advancement of algorithms, AI has ushered in a new opportunity for development. In the past two years, with the successive release of heavyweight applications such as ChatGPT, DALL-E, Stable Diffusion, Pika, Sora, etc., the development of generative AI has brought the application of AI to a new stage. Generative AI is becoming the forefront of technological innovation, triggering heated research and discussion on topics ranging from basic scientific research, to the combination of AI and the physical world, and even to the threat of AI to mankind, etc. AI chip company Nvidia, fueled by the wave of AI, had a market capitalization of more than $2 trillion, becoming the third largest publicly traded company in the United States.

Recently, market research organization CB Insights released a report on generative AI, "2024 generative AI predictions", which predicts the technology dynamics and market trends in the field of generative AI in 2024 from the parts of generative AI infrastructure, breakthroughs in the basic model, the development of human-computer interaction, and AI applications: The infrastructure end, including energy, arithmetic and data, will face certain challenges; the model end, all kinds of models are ready to develop, which may change the current pattern of using big models; the application end will continue to be enriched, and the ecosystem, including human-computer interaction and AI assistants, will continue to be perfected. We have reason to expect a series of exciting innovative products and technological breakthroughs in the field of generative AI in the coming year.

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