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ChatGPT发展速度如此之快,互联网的业内人士正在经历着什么?它会代替哪些工作?哪些工作不会被代替?本期邀请互联网业内的算法大神NP进行解答!
"ChatGPT is developing rapidly, and professionals in the internet industry are experiencing what?"
"What jobs will it replace?"
"What jobs will not be replaced?"
"In this episode, we invite algorithm expert NP from the internet industry to answer these questions!"
NP介绍
北大本硕博出身,在算法领域有深入研究,曾经是某文艺发源地APP的首席数据科学家,现阶段深入实践和研究大模型
豆瓣:Nullpointer
目前在大规模机器学习和自然语言处理方面的团队中担任重要职务。作为主要负责人之一,他不仅有着丰富的经验和深厚的技术功底,还能够提供前瞻性的思路和战略,为团队带来创新性的方案和解决方案。他能够引领团队不断深入研究和开发先进的机器学习和自然语言处理技术,从而推动人工智能和自然语言处理领域的发展,并将其应用于产品和服务中,为用户带来更好的体验和价值。
00:02:07: 对话任务中的大模型:从指令对齐到通用智能的雏形
00:05:51: 大模型 AI 技术的跨时代挑战与机遇
00:11:46: GPT的护城河与潜在危险:开源与战略级别
00:17:33: 大模型的万能视角:解决一切难题
00:23:31: 为什么亚马逊的AI标注平台在中国没有崛起?
00:29:18: 中国经济新方向:解决内忧外患问题
https://www.buymeacoffee.com/silanding
NP Introduction:
NP, graduated from Peking University with a bachelor's, master's, and Ph.D. degree. He has in-depth research in the field of algorithms and was once the Chief Data Scientist of Alipay in a cultural and artistic origin place. At the present stage, he is deeply engaged in the practical application and research of large models.
Douban: Nullpointer
Currently holding an important position in a team specializing in large-scale machine learning and natural language processing. As one of the main leaders, he not only has rich experience and profound technical expertise, but also can provide forward-thinking ideas and strategies, bringing innovative solutions to the team. He can lead the team to continuously delve into the research and development of advanced machine learning and natural language processing technologies, thereby promoting the development of artificial intelligence and natural language processing fields, and applying them to products and services to bring users a better experience and value."
00:02:07: Large Models in Dialogue Tasks: From Instruction Alignment to the Embryo of General Intelligence
00:05:51: The Cross-Era Challenges and Opportunities of Large Model AI Technology
00:11:46: GPT's Moat and Potential Risks: Open Source vs. Strategic Level
00:17:33: The Universal Perspective of Large Models: Solving All Difficulties
00:23:31: Why Hasn't Amazon's AI Annotation Platform Risen in China?
00:29:18: China's New Economic Direction: Addressing Internal and External Challenges
By SilanChatGPT发展速度如此之快,互联网的业内人士正在经历着什么?它会代替哪些工作?哪些工作不会被代替?本期邀请互联网业内的算法大神NP进行解答!
"ChatGPT is developing rapidly, and professionals in the internet industry are experiencing what?"
"What jobs will it replace?"
"What jobs will not be replaced?"
"In this episode, we invite algorithm expert NP from the internet industry to answer these questions!"
NP介绍
北大本硕博出身,在算法领域有深入研究,曾经是某文艺发源地APP的首席数据科学家,现阶段深入实践和研究大模型
豆瓣:Nullpointer
目前在大规模机器学习和自然语言处理方面的团队中担任重要职务。作为主要负责人之一,他不仅有着丰富的经验和深厚的技术功底,还能够提供前瞻性的思路和战略,为团队带来创新性的方案和解决方案。他能够引领团队不断深入研究和开发先进的机器学习和自然语言处理技术,从而推动人工智能和自然语言处理领域的发展,并将其应用于产品和服务中,为用户带来更好的体验和价值。
00:02:07: 对话任务中的大模型:从指令对齐到通用智能的雏形
00:05:51: 大模型 AI 技术的跨时代挑战与机遇
00:11:46: GPT的护城河与潜在危险:开源与战略级别
00:17:33: 大模型的万能视角:解决一切难题
00:23:31: 为什么亚马逊的AI标注平台在中国没有崛起?
00:29:18: 中国经济新方向:解决内忧外患问题
https://www.buymeacoffee.com/silanding
NP Introduction:
NP, graduated from Peking University with a bachelor's, master's, and Ph.D. degree. He has in-depth research in the field of algorithms and was once the Chief Data Scientist of Alipay in a cultural and artistic origin place. At the present stage, he is deeply engaged in the practical application and research of large models.
Douban: Nullpointer
Currently holding an important position in a team specializing in large-scale machine learning and natural language processing. As one of the main leaders, he not only has rich experience and profound technical expertise, but also can provide forward-thinking ideas and strategies, bringing innovative solutions to the team. He can lead the team to continuously delve into the research and development of advanced machine learning and natural language processing technologies, thereby promoting the development of artificial intelligence and natural language processing fields, and applying them to products and services to bring users a better experience and value."
00:02:07: Large Models in Dialogue Tasks: From Instruction Alignment to the Embryo of General Intelligence
00:05:51: The Cross-Era Challenges and Opportunities of Large Model AI Technology
00:11:46: GPT's Moat and Potential Risks: Open Source vs. Strategic Level
00:17:33: The Universal Perspective of Large Models: Solving All Difficulties
00:23:31: Why Hasn't Amazon's AI Annotation Platform Risen in China?
00:29:18: China's New Economic Direction: Addressing Internal and External Challenges