๐ ๐๐๐ง ๐ญ๐ก๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐ ๐จ๐ ๐๐ ๐๐ ๐๐๐๐๐ง๐ญ๐ซ๐๐ฅ๐ข๐ณ๐๐? ๐๐จ๐ฐ ๐๐จ ๐ฐ๐ ๐ฌ๐๐๐ฅ๐ ๐๐๐ฒ๐จ๐ง๐ ๐ฌ๐๐๐ฅ๐ข๐ง๐ ๐ฅ๐๐ฐ๐ฌ? ๐๐ง๐ ๐ฐ๐ก๐๐ญ ๐๐จ๐๐ฌ ๐ข๐ญ ๐ซ๐๐๐ฅ๐ฅ๐ฒ ๐ญ๐๐ค๐ ๐ญ๐จ ๐๐ฎ๐ข๐ฅ๐ ๐ข๐ง๐๐ฅ๐ฎ๐ฌ๐ข๐ฏ๐, ๐ฆ๐ฎ๐ฅ๐ญ๐ข๐ฅ๐ข๐ง๐ ๐ฎ๐๐ฅ ๐๐๐๐ฌ?
In this episode of the #WiAIRpodcast, Wanru Zhao discusses decentralized and collaborative AI methods, the limitations of scaling laws, fine-tuning strategies, data attribution challenges in LLMs, and multilingual learning in federated settingsโall while reflecting on her experiences across UK and Canadian research ecosystems. She also shares her academic journey, vision for the future of AI, and how she navigates research roadblocks with creativity and curiosity.
๐ง Whether you're building #llms, exploring #FederatedLearning, or just passionate about more inclusive and sustainable AI researchโthis episode is packed with insights, encouragement, and visionary thinking.
๐ Watch now and be part of the future of AI thatโs collaborative, global, and radically inclusive.
๐ง Subscribe to stay updated on new episodes spotlighting brilliant women shaping the future of AI.
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