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Interpretation of AI large model trends in 2024
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Large models refer to deep learning models with ultra-large-scale pre-training corpus and over 100 billion model parameters. ChatGPT, an artificial intelligence product based on large models developed by the Open Artificial Intelligence Research Center (OpenAI) in the United States, is considered a new breakthrough in artificial intelligence technology. Just two months after its launch, monthly active users exceeded 100 million, becoming the largest user group in history. The fastest growing consumer application and triggering a boom in large model development. The development of large models will accelerate the process of the AI industry and bring more powerful intelligent capabilities.
Big model era
2023 is almost over. Over the past year, various large models have been released and competed with each other. **Among them, the large model represented by ChatGPT has attracted great attention in the global digital technology community. **As of October 2023, large model technology has entered a stage of rapid development. In China, more than 10 large models have been registered. Among them, after Baidu's Wenxin large model was upgraded to version 4.0, it has achieved significant improvements in its four core capabilities of understanding, generation, logic and memory. At the same time, OpenAI’s ChatGPT has also undergone a major upgrade. In addition to multi-modal vision capabilities, DALL·E 3 and the opening of speech synthesis API...
With the rise of the large model era, the human-computer interaction model has also undergone complete subversion, providing unprecedented potential for individual creators. The introduction of the plug-in mechanism enables the platform to flexibly adapt to various scenarios, gives large models a wide range of application possibilities, opens up real-time "application moments", and provides users with a more personalized and practical experience. The emergence of digital humans has become the leader of the next generation of human-computer interaction, providing users with a more natural and humane way of interaction.
In terms of AI assisting industrial development, MaaS services and vertical field applications are becoming a key trend in the development of AI in the era of large models. By building a controllable and reliable security ecosystem and promoting the practical application of models, AI technology will bring broader opportunities and profound challenges to various industries. This kind of innovation and development will drive artificial intelligence towards a more brilliant future.
Future development trends of large models
A report titled "Human-Machine Symbiosis - Observation of Ten Trends in AI in the Large Model Era" that has attracted widespread attention recently was jointly released by Tencent Research Institute, Tongji University and other institutions. This report aims to conduct an in-depth discussion of the development trends of large model artificial intelligence technology. It proposes in-depth observations and predictions of future trends in the era of large models from multiple dimensions such as technology, application, and society. These perspectives not only help us more comprehensively understand the development direction of large-model AI technology, but also provide us with deep insights to better grasp the opportunities and challenges of future development. Next, I will interpret this article and share my understanding of the development of large models under future trends.
The report points out that AI technology is rapidly evolving to the level of AGI (artificial general intelligence), and generative AI brings us a more humane interactive experience. At the same time, MaaS (Model as a Service) is gradually building its unique industrial ecosystem, and applications in vertical fields have become the core area of large-scale model competition. In addition, large-scale models are expected to help individuals transform into super-productive individuals. These trends not only promote the rapid development of AI, but also open up new prospects and opportunities for achieving the ambitious goals of AGI.
The ten major trends mentioned at the conference are: LLM promotes the rapid evolution of artificial intelligence to the AGI stage, multi-modality helps large models solve complex problems, generative AI brings more human-like interaction methods, and the model-as-a-service (MaaS) ecosystem It is about to emerge. Vertical field applications are the main battlefield for large models. Plugin tools allow large models to usher in the App Store moment. Large models "inject soul" into digital people. AI large models will help individuals become super producers. Copyright "dichotomy of ideological expression" "The cornerstone is shaking, and ethics and safety construction shape a responsible AI ecosystem.
1. LLM promotes the rapid evolution of artificial intelligence to the AGI stage: The rise of LLM (Large Language Model) brings artificial intelligence into the AGI era, emphasizing the key role of language models in promoting technological progress and achieving the goal of general artificial intelligence. This marks the continuous evolution of AI systems to higher-level cognitive capabilities and expands the development boundaries of artificial intelligence.
2. Multimodality helps large models solve complex problems: Emphasizing the application of multimodality in large models indicates that future AI systems will better understand and process multi-source and multi-type information, thereby more effectively solving real-life problems. complex issues in. This reflects the pursuit of comprehensive perception capabilities of the model.
3. Generative AI brings more human-like interaction methods: Emphasizing the role of generative AI indicates that future interactions will be more natural, intelligent, and closer to human thinking. This provides a richer and more personalized experience for human-computer interaction and promotes a closer connection between technology and users.
4. The model-as-a-service (MaaS) ecosystem is about to emerge: The rise of MaaS implies that AI model services are becoming an emerging ecosystem, providing more flexible and efficient solutions for various industries. This reflects that model services will become an important part of AI applications in the future.
5. Vertical field applications are the main battlefield for large models: Focusing on vertical field applications emphasizes the huge potential of large models in specific industries. This shows that in the future, large models will focus more on solving specific problems within the industry and bring profound changes to various fields.
6. Plugin tools allow large models to usher in App Store moments: Emphasize the importance of plug-in tools and compare large models to ushering in "App Store moments", which indicates the expansion and diversity of the model application ecosystem and provides users with more personality personalized and customized services.
7. Large models “inject soul” into digital humans: It is pointed out that large models give digital humans more intelligence and soul, emphasizing the importance of digital humans in future human-computer interaction. This provides new ideas for giving AI richer humanistic features.
8. AI large models will help individuals become super producers: The focus is on how AI large models can help individuals improve productivity, provide individuals and creators with more powerful tools and capabilities, and thus shape the future of super producers.
9. The cornerstone of the “dichotomy of expression of ideas” in copyright is shaking: This suggests that in the era of the big model, the dividing line between the traditional concept of copyright and expression of ideas may change. This reflects a rethinking of intellectual property and the way information is disseminated, posing legal and ethical challenges.
10. Ethics and safety construction shape a responsible AI ecosystem: Highlight the importance of ethics and safety in the development of AI, and emphasize the construction of a responsible AI ecosystem. This reflects society’s concerns about the reasonable and ethical use of AI applications as technology develops.
Summarize
The research on large model technology has just started, there are still many problems that need to be solved urgently, and its dividends and contributions are far from being explored.
In short, the rise of large model technology marks the beginning of the era of general artificial intelligence, which is of epoch-making significance. This trend will redefine the information society, bring more intelligent and comprehensive development to the future, and promote profound progress in artificial intelligence in various fields.