Wang's Tech Blog

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  Wang 18:49 on 2023-08-30 Permalink | Reply
  Tags: BigData ( 37 ), ML Engineering, Performance ( 35 ), Vector Database   

  Github: Weaviate

  Github: Vespa

  Github: Milvus

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  Wang 12:43 on 2023-08-22 Permalink | Reply
  Tags: BigData ( 37 ), Data Engineering ( 4 ), ML Engineering, Performance ( 35 )   

  Vector Database

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  Wang 22:30 on 2023-07-04 Permalink | Reply
  Tags: AI ( 28 ), GPU ( 3 ), ML Engineering, MLOps ( 18 ), Performance ( 35 )   

  Lambdalabs – Limitless access to GPUs for deep learning

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  Wang 22:51 on 2023-06-05 Permalink | Reply
  Tags: AI ( 28 ), AIGC ( 15 ), GPU ( 3 ), ML Engineering, Performance ( 35 ), YouTube ( 14 )   

  NVIDIA 

  Nvidia Reveals Grace Hopper Generative AI Chip (Computex 2023)

  NVIDIA ACE for Games Sparks Life Into Virtual Characters With Generative AI

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  Wang 11:53 on 2023-05-14 Permalink | Reply
  Tags: AI ( 28 ), AIGC ( 15 ), ML Engineering, Model ( 7 )   

  Amazon CodeWhisperer – Build applications faster and more securely with your AI coding companion

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  Wang 10:09 on 2023-04-21 Permalink | Reply
  Tags: AI ( 28 ), GPT ( 3 ), LLM ( 6 ), ML ( 2 ), ML Engineering   

  Auto-GPT: An Autonomous GPT-4 Experiment

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  Wang 20:07 on 2023-02-16 Permalink | Reply
  Tags: AI ( 28 ), AIGC ( 15 ), ML Engineering, Model ( 7 )   

  What is generative AI? 

  Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos. Recent new breakthroughs in the field have the potential to drastically change the way we approach content creation.

  https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai

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  Wang 21:01 on 2023-01-27 Permalink | Reply
  Tags: AWS ( 2 ), Azure, Cloud ( 30 ), GCP ( 14 ), ML Engineering, MLOps ( 18 )   

  SkyPilot – A framework for easily and cost-effectively running ML workloads on any cloud

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  Wang 11:59 on 2022-11-11 Permalink | Reply
  Tags: AI ( 28 ), BigData ( 37 ), Cloud ( 30 ), Data Engineering ( 4 ), Databricks, ML Engineering   

  Data + AI Summit 2022 North America/Virtual – All Sessions 

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  Wang 22:48 on 2022-11-05 Permalink | Reply
  Tags: Data Engineering ( 4 ), ML Engineering, MLOps ( 18 )   

  MLOps Principles

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