Unlock the Potential of Open AI in Smart Manufacturing
Then , the input question along with the prompt is sent to the LLM to retrieve an answer , which it then executes on the data services which is a Graph database . It then finally creates a response to the input question .
The framework can be integrated with various manufacturing platforms and devices , such as PLCs , CNCs , robots , IoT sensors , etc ., and can support various programming languages and frameworks , such as Python , C #, Java , etc .
The framework can enable various use cases and benefits for manufacturing , such as :
• Improving the efficiency and quality of design and development by providing code suggestions , templates , and examples based on the user ’ s specifications and requirements .
• Enhancing the performance and reliability of production systems by providing optimization tips , troubleshooting guides , and maintenance schedules based on the data analysis and knowledge base .
• Reducing the cost and time of training and upskilling by providing interactive tutorials , quizzes , and feedback based on the user ’ s level of expertise and learning goals .
• Increasing the innovation and creativity of manufacturing solutions by providing inspiration , brainstorming , and prototyping tools based on the user ’ s ideas and challenges .
Similar solutions have been developed or proposed by other researchers and companies , such as :
• GitHub Copilot 14 , a service that provides access to large-scale generative AI models that can understand and generate natural language and code . It can help developers with writing assistance , code generation , and reasoning over data .
• Azure OpenAI Copilot 15 , a service that provides access to large-scale generative AI models that can understand and generate natural language and code . It can help startups with building , managing , and deploying AI solutions using various tools and services .
4 INDUSTRY APPLICATIONS & SUCCESS STORIES IN SMART MANUFACTURING
• Product engineering : Generative AI can help product designers create innovative new designs within parameters specified by the user , such as materials , manufacturing constraints , safety factors , and other variables .
14 https :// github . com / features / copilot
15 https :// startups . microsoft . com / blog / 8-steps-to-building-an-azure-openai-copilot-for-your-startup / Journal of Innovation 61