This AI research report quickly figured out ChatGPT, Gen-AI, large models, multimodal...

Source: AI dark horse

Author: Unfinished Research by Qiming Venture Partners

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Previously, we shared the research reports of Tsinghua University and Tencent Research Institute (see previous articles). The report shared this time comes from Qiming Venture Partners. This artificial intelligence report has clarified ChatGPT, Gen-AI, large models, multimodal...

一| In 2022, ChatGPT was born and a breakthrough was made in the application of diffusion models. This year is also known as the year of generative artificial intelligence.

二| In 2023, the large model will reach a peak, and generative artificial intelligence will enter the stage of innovative application of general artificial intelligence.

三| In 2024, China will have a multilingual general-purpose model comparable to GPT-4.

四| Before 2025, modals such as Video and 3D will usher in milestone models, greatly improving the generation effect.

五| The ecology of generative artificial intelligence includes infrastructure layer, model layer and application layer. Innovation is initiated at each level, and competition is also launched among technology giants, industry leaders and start-up companies. In the face of this revolutionary technology, whether actively or passively, enterprises are involved. Whether it is a technology incumbent, an innovator or an adopter, the business model will change, which in turn will affect the development of the enterprise.

Lu| At present, generative AI is still in the early stage of technological development, and the infrastructure and core technologies are immature; technology giants are busy developing large models, and have not taken into account the depth of specific application scenarios. But when the giants add similar functions is always the sword of Damocles hanging over the head of start-ups, and the expansion of the boundaries of large-scale model capabilities may also crowd out the development space of start-ups in the future. In the blue ocean, there are also hidden reefs on the road of development.

百| The large model is not only used to generate articles and pictures, but also can be used as an intelligent agent to help manage and perform more complex tasks. The open-source model realizes low-cost, miniaturized, and professional training, and competes and complements the closed-source basic model, which jointly promotes the application of generative artificial intelligence technology and accelerates the deployment of models to the edge and mobile terminals.

八| Large models of generative artificial intelligence are increasingly developing towards multimodality, and embodied intelligence has also become an important research direction, helping generative artificial intelligence to better understand and deal with the complexity and diversity of the real world.

九| Before the emergence of a more promising large language model, in order to achieve better results in the vertical field, the following three methods will coexist: 1) Use more general data for General large-scale model pre-training without special introduction of industry data; 2) Use industry-specific data to fine-tune (Fine-Tuning) general large-scale models; 3) Use data sets with a higher proportion of industry data for vertical model pre-training.

** Pick | ** Embodied AI represented by PALM-E shows great potential in the direction of robot perception, understanding and decision-making, but there are still big challenges in training and reliability. In the short term, Transformer is becoming the mainstream network structure of multiple modalities, but a general method for compressing the entire digital world has not yet appeared, and Transformer is not the end of artificial intelligence technology. The current generative AI market is in the early stage of technology dominance, and there are opportunities for platform companies with a market value of hundreds of billions of dollars.