Advancements in artificial intelligence have often stemmed from additional model training parameters. However, over the past year, the focus has shifted toward scaling AI inference, with larger token sets, reinforced learning, and chain-of-thought prompting all driving significant improvements in AI reasoning capabilities.
Xuesong Zhao, Lead Manager of the Polar Capital Artificial Intelligence Fund, explores these exciting developments, discussing what enhanced reasoning means for AI enablers and beneficiaries. He also shares his outlook on AI, covering both emerging use cases and the future of model development.
Advancements in artificial intelligence have often stemmed from additional model training parameters. However, over the past year, the focus has shifted toward scaling AI inference, with larger token sets, reinforced learning, and chain-of-thought prompting all driving significant improvements in AI reasoning capabilities.
Xuesong Zhao, Lead Manager of the Polar Capital Artificial Intelligence Fund, explores these exciting developments, discussing what enhanced reasoning means for AI enablers and beneficiaries. He also shares his outlook on AI, covering both emerging use cases and the future of model development.
Xuesong joined Polar Capital in May 2012. He is a lead manager of the Polar Capital Artificial Intelligence Fund and is a Fund Manager on the Polar Capital Technology Trust and Polar Capital Global Technology Fund.
Prior to joining Polar Capital, he spent four years working as an investment analyst within the emerging markets & Asia team at Aviva Investors, where he was responsible for the technology, media and telecom sectors. Prior to that, he worked as a quantitative analyst and risk manager for the emerging market debt team at Pictet Asset Management. He started his career as a financial engineer at Algorithmics, now owned by IBM, in 2005.
