XConf China 2023
| title | author | length |
|---|---|---|
| XConf China 2023 | 02m | |
Asserts that every engineer already uses generative AI, reframes the problem of skill growth by claiming learning is not prediction, and repeatedly urges slow… | ||
| Is GenAI the technology revolution we need? How can we harness it at work? | Andy Nolan | 28m |
Claims that 30% of employees use ChatGPT at work and that 68% hide that use from bosses drive the talk, plus a cited 67% of companies considering GenAI… | ||
| AI assisted software delivery | Rachel Laycock | 33m |
Generative AI promises 20–50% faster coding but code writing is only about 26–27% of software work; experiments with GitHub Copilot (~500 licenses) and Tabnine… | ||
| Panel Discussion: Expanding opportunities – The fusion of GenAI, product and design | Rujia Wang | 42m |
Panelists describe concrete deployments: a backend that delivers answers in 3 seconds for wealth managers; an AI lab running 7 to 8 projects and benchmarking… | ||
| Reimagine financial service experience with LLM | Ran Xiao | 35m |
Generative LLMs promise conversational, personalized financial experiences but require hard engineering and big money: China already hosts 40+ LLMs, ICBC… | ||
| Does working software still matter in the age of generative AI? | Hao Xu | 24m |
Claim: working software may not be top priority anymore because LLMs like ChatGPT become the generic architecture that runs codified knowledge. Uses: ChatGPT… | ||
| nothing matches | ||