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4 ways generative AI addresses manufacturing challenges

IBM Journey to AI blog

The manufacturing industry is in an unenviable position. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. And manufacturers face pressure to constantly innovate while ensuring stability and safety.

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Top 7 best Generative AI courses offered online   

Data Science Dojo

If you’re interested in learning more about this exciting technology, many great online courses are available. Open AI Integration and Optimization Services: This allows users to leverage the capabilities of OpenAI’s advanced AI models, such as ChatGPT, Dall-E 2, GPT-3.5, and Codex, within their own applications.

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Leveraging generative AI on AWS to transform life sciences

IBM Journey to AI blog

Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. Manufacturing : Quality control and inspection, operator / lab tech training conversational search through SOP’s, content creation and more.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning Blog

Third, a number of sessions will be of interest to ML practitioners who build, deploy, and operationalize both traditional and generative AI models. The greater the power of latest transformer-based models, the greater the responsibility of all ML practitioners to do this right. This year, learn about LLMOps, not just MLOps!

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

Companies that lack ready access to high-quality data will not be able to customize generative AI models with their own data, thus missing out on realizing the full scaling potential of generative AI and creating a competitive advantage. Invest in acquiring diverse and high-quality datasets to enrich and accelerate your ESG initiatives.

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