Wu Hao, deputy director of the Sichuan Key Laboratory, said that open source of large models reduces the threshold for AI toy development
In recent years, the rapid development of artificial intelligence technology is profoundly changing all walks of life, especially in the field of toy manufacturing, the application of AI technology has given new vitality to traditional toys. Wu Hao, deputy director of the Sichuan Key Laboratory of Intelligent Perception and Control, said in an interview recently that the open source of large models has significantly lowered the threshold for development of AI toys and provided more opportunities for small and medium-sized enterprises and entrepreneurs.
Wu Hao pointed out that in the past, the development of AI toys required a lot of algorithm research and data training, which was expensive and had high technical barriers. However, with the open source of large models such as GPT and BERT, developers can directly use these mature models for secondary development, which greatly shortens the development cycle and reduces technical difficulty.
The following is a summary of popular topics and hot contents across the network in the past 10 days, covering AI toys, open source of large models and related technology developments:
date | Hot Topics | Hot content | Popularity index |
---|---|---|---|
2023-11-01 | Big model open source trend | Several technology companies announce open source AI models to promote industry innovation | 95 |
2023-11-03 | AI toy market growth | Global AI toy market size is expected to exceed US$10 billion in 2025 | 88 |
2023-11-05 | Intelligent interactive toys | New AI toys can realize voice interaction and emotional recognition | 92 |
2023-11-07 | Open Source Community Contribution | The developer community contributes a large number of open source projects for AI toys | 85 |
2023-11-09 | Policy support | Governments in many places have issued policies to encourage the development of the AI toy industry | 90 |
Wu Hao further explained that open source big models not only reduce development costs, but also promote rapid iteration of technology. For example, through the collaboration of the open source community, developers can share optimized model parameters and training methods, thereby improving the intelligence level of AI toys.
The core technology of AI toys
Wu Hao listed several core technologies in the development of AI toys, including natural language processing (NLP), computer vision (CV), and emotional computing. The maturity of these technologies laid the foundation for the application of large models in the toy field.
Technical name | Application scenarios | Open Source Tools |
---|---|---|
Natural Language Processing | Voice interaction, story generation | GPT-3, BERT |
Computer Vision | Face recognition, motion capture | OpenCV, YOLO |
Emotional calculation | Emotional recognition, personalized feedback | Affectiva |
Wu Hao emphasized that the prosperity of the open source ecosystem provides unlimited possibilities for the innovation of AI toys. He gave an example that some startups have used open source large models to develop smart toys that have been able to achieve in-depth interaction with children and even have certain educational functions.
Future Outlook
With the continuous advancement of technology, the functions of AI toys will be richer and the user experience will be further improved. Wu Hao predicts that in the next few years, AI toys will gradually become popular and become an important tool for children's education and entertainment. At the same time, he also called on more companies and developers to join the open source community to jointly promote the development of the AI toy industry.
In general, the open source of large models has brought revolutionary changes to the development of AI toys, lowering the technical threshold and accelerating the pace of innovation. Driven by the dual driving force of policies and markets, the AI toy industry is expected to usher in explosive growth.
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