姚卯青、张正友、徐丹飞等七位大佬同席,这届 WAIC 把具身未来聊透了
Quick Answer
At WAIC, industry leaders discussed the future of embodied AI, emphasizing the need for high-quality physical experience data to enhance robot performance.
Quick Take
Key insights included breakthroughs from models like PI0.7, which achieved a 99.99% success rate in real-world tasks, and the innovative approach of using human data as a teaching resource.
Key Points
- PI0.7 model achieved a breakthrough with context scoring, enhancing data quality assessment.
- Robots trained with human first-person data showed significant improvement in complex task success rates.
- Dyna Robotics reported a 99.99% success rate in real-world deployments using hybrid training data.
- Industry leaders emphasized the importance of breaking through three physical barriers in AI development.
- Experts predict the arrival of ChatGPT-like robots within 2 to 5 years, depending on data advancements.
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The 8-week hands-on track focuses on mastering Generative AI, , QLoRA fine-tuning, and AI Agents, enabling participants to build 8 real-world applications. This program emphasizes practical skills with over 20 Frontier and Open models, catering to developers and AI enthusiasts aiming to enhance their expertise in AI technologies.