About LLM scaling law - Jason Wei @OpenAI
Here is the translation:
- AI applications in multiple fields: Wei mentioned that AI has huge development potential, especially in science and healthcare.
- Reducing model hallucinations: He emphasized the need to reduce models’ overconfidence, which is crucial for ensuring AI’s reliability and accuracy.
- Multimodal: Wei suggested applying AI to various types of data (e.g., images, text, audio), which will greatly enhance AI’s overall capabilities.
- AI as a tool and partner: He believes that AI can not only be used as a tool to help humans but also become a more powerful collaborative partner.
- Bringing AI applications to reality: Wei stressed that although there has been significant progress in technology, the actual deployment and widespread application of AI still have a gap, which needs to be narrowed to make AI truly benefit humanity.
Translation
根据 Jason Wei 的演讲，这些是他认为的未来方向：
- AI 在多个领域的应用:Wei 提到 AI 有着巨大的发展潜力，特别是在科学、医疗保健等领域。
- 减少模型的幻觉:他提到了减少模型过度自信的需求，这对确保 AI 的可靠性和准确性至关重要。
- 多模态:Wei 表示将 AI 运用到多种不同数据类型（如图像、文本、语音等）的领域，会大幅提升 AI 的综合能力。
- AI 对工具的使用:他认为 AI 不仅可以作为工具来帮助人类，还可以成为一个更强大的协同合作伙伴。
- 人工智能应用落地:Wei 强调虽然技术方面有很大进展，但实际部署和广泛应用仍然存在一定差距，需要进一步缩小这个差距，让 AI 真正造福人类社会。
这些方向对于发展更强大的、更负责任的 AI 至关重要，并且是 Jason Wei 在演讲中重点讨论的内容。
Reference:
https://llm-class.github.io/slides/Jason_Wei.pdf