Multithread effectively and personalize outreach to convert deals faster
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Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Noam Shazeer is a VP of Engineering and Gemini co-lead at Google Deepmind. He is a highly influential figure in the field of large language models, having invented key components of the Transformer architecture, including multi-head attention and the residual architecture. He also developed Sparsely-gated Mixture of Experts, Mesh-Tensorflow, and T5. Prior to his current role, he was the CEO and co-founder of Character AI.
Noam Shazeer's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Designed the multi-head attention mechanism and residual architecture, and implemented the first working version that outperformed existing state-of-the-art models.
Developed the Sparsely-gated Mixture of Experts architecture, a technique for scaling language models to extremely large sizes.
Created Mesh-Tensorflow, the first practical system for training giant Transformer models on supercomputers.
Developed the T5 model, which reframes all NLP tasks into a text-to-text format.
Major contributor to Google’s LaMDA dialog system.
Duke University - Year 1994
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Google's mission is to organize the world's information and make it universally accessible and useful. Through products and platforms like Search, Maps, Gmail, Android, Google Play, Chrome and YouTube, Google plays a meaningful role in the daily lives of billions of people and has become one of the world’s best-known companies.
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