Sharon Li on Muck Rack

Sharon Li

  • Reporter, Money Times
As seen in: Amazon Web Services, Color Research & Application, Flipboard, JD Supra, Yale Daily News, Wisconsin Watch, EconoFact, buzz
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Articles

Unlocking video insights at scale with Amazon Bedrock multimodal models

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By Lana Zhang, Sharon Li
| Amazon Web Services
Video content is now everywhere, from security surveillance and media production to social platforms and enterprise communications. However, extracting meaningful insights from large volumes of video remains a major challenge. Organizations need solutions that can understand not only what appears in a video, but also the context, narrative, and underlying meaning of the content.
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Building specialized AI without sacrificing intelligence: Nova Forge data mixing in action | Amazon Web Services

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By Yuan Wei, Sharon Li, Xin Hao
| Amazon Web Services
Large language models (LLMs) perform well on general tasks but struggle with specialized work that requires understanding proprietary data, internal processes, and industry-specific terminology. Supervised fine-tuning (SFT) adapts LLMs to these organizational contexts.
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A practical guide to Amazon Nova Multimodal Embeddings | Amazon Web Services

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By Yunyi Gao, Sharon Li
| Amazon Web Services
Embedding models power many modern applications—from semantic search and Retrieval-Augmented Generation (RAG) to recommendation systems and content understanding. However, selecting an embedding model requires careful consideration—after you’ve ingested your data, migrating to a different model means re-embedding your entire corpus, rebuilding vector indexes, and validating search quality from scratch.
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