EVP & Head of Consumer AI at Paramount | Former Google AI Executive

Mountain View, CA
Joined February 2008
Good overview of Generative AI providers' growing challenges to scrape the Web for publicly available training data. While courts historically adopted the approach that scraping public sites is generally allowed, complex nature of…lnkd.in/gnpQwySw lnkd.in/gDqpU-9m
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Good overview of emerging LLM data stack (lnkd.in/gbh9WH6n) from Matt Bornstein @nolefp from Andreessen Horowitz. In my opinion, one of most critical dependencies is not sufficiently called out in this stack: Robust information retrieval (based on…lnkd.in/g_Yqcz7M
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Observe.AI (Scale Venture Partners portfolio company developing conversation intelligence AI solutions), unveiled an LLM specifically designed for contact center use case, along with a suite of generative AI products d…lnkd.in/gWCtBz7P lnkd.in/ggaYjFka
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Good summary of different techniques for information retrieval and summarization to power LLM-based applications. Robust information retrieval / Knowledge Graph capabilities is the most critical dependency for scalable and useful G…lnkd.in/g44YRfBs lnkd.in/gyJ8Nmfy
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Very promising approach of combining LLMs (strong in fluency) with" Knowledge Graphs" (strong in structured data - > increased accuracy), to create a "better together" Geverative AI applications (eg natural language recommendation system). The critical de…lnkd.in/g-C_cU-f
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Really enjoyed sharing my insights on disruptive potential of AI in the Enterprise with @itsbobjohnston, CEO of Executive Council! lnkd.in/gUXHpuSw
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Interesting use cases of using Generative AI - improving creator (eg writing Sci-fi books) or white collar (eg writing customer facing email/chats etc) are the most practical applications of this disruptive technology (lnkd.…lnkd.in/gRd7MVz5 lnkd.in/grQcCWs3
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