Q1. What does a smart factory look like in practice? What's the best-case scenario?
#BizTalks #Manufacturing #ATTInfluencer #Industry40
AI
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Smart Factory Implementation: Best-Case Scenarios Explored
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Digital Transformation Leadership with Helen Yu at ATT Business
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Welcome to @ATTBusiness #BizTalks everyone! Greetings from the Winter Wonderland. I am Helen Yu, your host today. Let’s begin with introduction. I am the founder and CEO of Tigon Advisory and host of #CXOSpice. I guide organizations through digital transformation, strategic
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Strategic Leader in Digital Transformation and IT Innovation
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Let’s welcome our special guest @dez_blanchfield Dez is a strategic leader in business and digital transformation with 25 years of experience in the IT and telecommunications industries developing strategies and implementing business initiatives. He has a breadth of expertise
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ModelScope Text-to-Video Synthesis Tool Now Available
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Just direct it yourself on https://
huggingface.co/spaces/damo-vi
lab/modelscope-text-to-video-synthesis
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Prompt Engineering for Rapid LLM-Based Product Prototyping
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Prompt engineering for rapid iteration in product prototyping and exploration tailors a LLM to better align with the task definition quickly and easily. @lucasmearian reports via @Computerworld with quote from @MarshallChoy
. https://
computerworld.com/article/369125
3/how-to-train-your-chatbot-through-prompt-engineering.html
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AMD GPU Support in PyTorch Signals Hardware Diversification Future
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This post is a month old already, but I was quite happy to see the progress of @AMD
's support in @PyTorch My prediction is that the future of ML will run on a modern diverse set of hardware Who's experimenting with AMD GPUs here? -

IoT and AI Foundation for Smart Factory Future
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Internet of Things (#IoT) devices, combined with broadband connectivity, are the foundation for the “smart factory” of the future. Every part of the process can now be monitored and measured, end-to-end. #ArtificialIntelligence can help manage inventory, keep employees safe and
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Bard’s Training Data Transparency Issues and Speculation
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Bard still seems confused about whether it was or wasn't trained using private data from Gmail (Google says it it wasn't). In reality it probably has zero idea what it was trained since that information was not in the training data, so it's just making guesses.
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Bard Training Data: Google Clarifies Non-Use of Gmail
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I was told "We do not use any Gmail data in Bard […] Bard is currently based on a lightweight and optimized version of LaMDA, which was trained on a variety of data from publicly available sources, similar to most language models available today."