{"id":20459,"date":"2024-03-20T05:46:29","date_gmt":"2024-03-20T05:46:29","guid":{"rendered":"https:\/\/staging.appliedsmartfactory.com\/ai-ml-faqs\/"},"modified":"2026-02-11T01:58:46","modified_gmt":"2026-02-11T09:58:46","slug":"ai-ml-faqs","status":"publish","type":"page","link":"https:\/\/appliedsmartfactory.com\/zh-hans\/ai-ml-faqs\/","title":{"rendered":"AI-ML Faqs"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"20459\" class=\"elementor elementor-20459 elementor-15274\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7d159936 e-flex e-con-boxed e-con e-parent\" data-id=\"7d159936\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3cda9e15 elementor-widget elementor-widget-heading\" data-id=\"3cda9e15\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\"><span style=\"display: inline-block\">FAQs: AI\/ML Technologies<\/span>\n<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1363fa47 elementor-widget elementor-widget-n-accordion\" data-id=\"1363fa47\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3250\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-3250\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> What do AI and ML stand for and how are they different? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3250\" class=\"elementor-element elementor-element-2e3e68ed e-con-full e-flex e-con e-child\" data-id=\"2e3e68ed\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-160b94e1 elementor-widget elementor-widget-text-editor\" data-id=\"160b94e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tAI is artificial intelligence and ML represents machine learning. Artificial intelligence represents the ability of computers to mimic human thought and tasks. Machine learning is a subcategory of AI. ML uses algorithms to learn from data, finding patterns and applying that understanding to decision making. Both are integral to achieving automation in semiconductor manufacturing.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3251\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3251\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> How are AI and ML technologies used in the semiconductor industry? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3251\" class=\"elementor-element elementor-element-48d3f0a9 e-con-full e-flex e-con e-child\" data-id=\"48d3f0a9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-469475f1 elementor-widget elementor-widget-text-editor\" data-id=\"469475f1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"margin-top: 0px;\">AI and ML technologies are used by semiconductor manufacturers to solve quality, productivity and supply chain challenges using the next-generation approach of advanced and intelligent algorithms.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3252\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3252\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> How does automation in semiconductor manufacturing work? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3252\" class=\"elementor-element elementor-element-5e4cd755 e-con-full e-flex e-con e-child\" data-id=\"5e4cd755\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1b49ec5b elementor-widget elementor-widget-text-editor\" data-id=\"1b49ec5b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tThe semiconductor industry uses automated manufacturing to integrate multiple factory systems (such as those that track lots, processes, scheduling, and distribution) to improve the accuracy and quality of data and communication.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3253\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3253\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> What are the benefits of automation in semiconductor manufacturing? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3253\" class=\"elementor-element elementor-element-6a46f3e5 e-con-full e-flex e-con e-child\" data-id=\"6a46f3e5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-31675a02 elementor-widget elementor-widget-text-editor\" data-id=\"31675a02\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Automated manufacturing solutions can improve productivity and quality while reducing overall costs. Among the many ways they do so is by enabling improved collaboration in one factory or across sites, providing accurate insights into equipment states for better tool management, and managing scheduling solutions using real-time data.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3254\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3254\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> How can manufacturing simulation software be used in semiconductor manufacturing? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3254\" class=\"elementor-element elementor-element-2fbb8b8 e-con-full e-flex e-con e-child\" data-id=\"2fbb8b8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4e87e250 elementor-widget elementor-widget-text-editor\" data-id=\"4e87e250\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Manufacturing simulation software can predict the impact of a particular change to the manufacturing process before it is made live in the production environment. This can identify potential problems to address prior to implementation, as well as help manufacturers find the most advantageous solutions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3255\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3255\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> How can manufacturing simulation software help when little historical data is available? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3255\" class=\"elementor-element elementor-element-7c90b1e6 e-con-full e-flex e-con e-child\" data-id=\"7c90b1e6\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5e49f785 elementor-widget elementor-widget-text-editor\" data-id=\"5e49f785\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Simulation software can model scenarios and generate synthetic data to use in AI training. Training models on rich datasets develop more robust, resilient models. Evaluating on-edge cases or other diverse scenarios that seldom occur in historical data increases generalization abilities of models, which improves accuracy overall.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3256\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"7\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3256\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> Can manufacturing simulation software support AI implementation in semiconductor manufacturing?  <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3256\" class=\"elementor-element elementor-element-6782f9b4 e-con-full e-flex e-con e-child\" data-id=\"6782f9b4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-64786680 elementor-widget elementor-widget-text-editor\" data-id=\"64786680\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tYes, simulation can overcome data collection challenges when implementing AI in semiconductor manufacturing. Simulation allows models to be trained on a rich, multi-year dataset, which aids prediction accuracy. Operational efficiency gains are then possible as planners are given the opportunity, in a non-production, simulated environment, to test and validate changes such as updating dispatching and scheduling parameters required for late lot predictions. Simulation also can find key performance indicator (KPI) differences by evaluating ML models versus existing dispatching rules or scheduling models. This provides the powerful opportunity to compare those differences.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What do AI and ML stand for and how are they different?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"AI is artificial intelligence and ML represents machine learning. Artificial intelligence represents the ability of computers to mimic human thought and tasks. Machine learning is a subcategory of AI. ML uses algorithms to learn from data, finding patterns and applying that understanding to decision making. Both are integral to achieving automation in semiconductor manufacturing.\"}},{\"@type\":\"Question\",\"name\":\"How are AI and ML technologies used in the semiconductor industry?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"AI and ML technologies are used by semiconductor manufacturers to solve quality, productivity and supply chain challenges using the next-generation approach of advanced and intelligent algorithms.\"}},{\"@type\":\"Question\",\"name\":\"How does automation in semiconductor manufacturing work?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The semiconductor industry uses automated manufacturing to integrate multiple factory systems (such as those that track lots, processes, scheduling, and distribution) to improve the accuracy and quality of data and communication.\"}},{\"@type\":\"Question\",\"name\":\"What are the benefits of automation in semiconductor manufacturing?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Automated manufacturing solutions can improve productivity and quality while reducing overall costs. Among the many ways they do so is by enabling improved collaboration in one factory or across sites, providing accurate insights into equipment states for better tool management, and managing scheduling solutions using real-time data.\"}},{\"@type\":\"Question\",\"name\":\"How can manufacturing simulation software be used in semiconductor manufacturing?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Manufacturing simulation software can predict the impact of a particular change to the manufacturing process before it is made live in the production environment. This can identify potential problems to address prior to implementation, as well as help manufacturers find the most advantageous solutions.\"}},{\"@type\":\"Question\",\"name\":\"How can manufacturing simulation software help when little historical data is available?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Simulation software can model scenarios and generate synthetic data to use in AI training. Training models on rich datasets develop more robust, resilient models. Evaluating on-edge cases or other diverse scenarios that seldom occur in historical data increases generalization abilities of models, which improves accuracy overall.\"}},{\"@type\":\"Question\",\"name\":\"Can manufacturing simulation software support AI implementation in semiconductor manufacturing?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes, simulation can overcome data collection challenges when implementing AI in semiconductor manufacturing. Simulation allows models to be trained on a rich, multi-year dataset, which aids prediction accuracy. Operational efficiency gains are then possible as planners are given the opportunity, in a non-production, simulated environment, to test and validate changes such as updating dispatching and scheduling parameters required for late lot predictions. Simulation also can find key performance indicator (KPI) differences by evaluating ML models versus existing dispatching rules or scheduling models. This provides the powerful opportunity to compare those differences.\"}}]}<\/script>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8dc7317 e-flex e-con-boxed e-con e-parent\" data-id=\"8dc7317\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b462aba elementor-widget elementor-widget-heading\" data-id=\"b462aba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span style=\"display: inline-block\">FAQs: RAG<\/span>\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8a11c36 elementor-widget elementor-widget-n-accordion\" data-id=\"8a11c36\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1440\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-1440\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> What is Retrieval-Augmented Generation (RAG)? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1440\" class=\"elementor-element elementor-element-393e560 e-con-full e-flex e-con e-child\" data-id=\"393e560\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eaca1eb elementor-widget elementor-widget-text-editor\" data-id=\"eaca1eb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>RAG is a hybrid AI approach that combines the generative power of large language models (LLMs) with the accuracy of document retrieval systems. It first searches a knowledge base for relevant data, then synthesizes and contextualizes that information to generate a natural language response.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1441\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1441\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> How does Retrieval-Augmented Generation benefit semiconductor manufacturing? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1441\" class=\"elementor-element elementor-element-c9a117e e-con-full e-flex e-con e-child\" data-id=\"c9a117e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e54b4bd elementor-widget elementor-widget-text-editor\" data-id=\"e54b4bd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"margin-top: 0px;\">RAG helps manufacturers by:<\/p><ul><li>Reducing the risk of hallucinations (incorrect answers) by grounding responses in relevant documents.<\/li><li>Providing up-to-date, transparent answers with references to source materials.<\/li><li>Navigating complex, evolving information landscapes\u2014like thousands of specs, SOPs, and tool logs\u2014to surface what matters most.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1442\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1442\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> What is an example of RAG in action? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1442\" class=\"elementor-element elementor-element-a937290 e-con-full e-flex e-con e-child\" data-id=\"a937290\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eb35314 elementor-widget elementor-widget-text-editor\" data-id=\"eb35314\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tThe SmartFactory Genie assistant uses RAG to help engineers troubleshoot issues or onboard new tools. Instead of searching through manuals, an engineer can ask a question and receive a synthesized, context-aware answer with actionable steps, saving time and reducing friction in problem-solving and training.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1443\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1443\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> What are the main limitations of Retrieval-Augmented Generation? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1443\" class=\"elementor-element elementor-element-4f24561 e-con-full e-flex e-con e-child\" data-id=\"4f24561\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e66f768 elementor-widget elementor-widget-text-editor\" data-id=\"e66f768\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n<li>RAG can be slower than purely generative models because it must search before generating a response.<\/li>\n<li>Its effectiveness depends on the quality of the retriever\u2014if relevant documents aren\u2019t found, it may not provide an answer.<\/li>\n<li>RAG is not designed for complex, multistep reasoning or autonomous task execution; it excels at answering questions and summarizing information.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1444\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1444\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> How is Retrieval-Augmented Generation evolving? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1444\" class=\"elementor-element elementor-element-c59ef6d e-con-full e-flex e-con e-child\" data-id=\"c59ef6d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-932c2b6 elementor-widget elementor-widget-text-editor\" data-id=\"932c2b6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>RAG is advancing with innovations like multimodal retrieval (integrating text, images, and sensor data) and personalized retrieval tailored to user roles and history. These improvements will make RAG even more powerful and efficient for manufacturing environments.<\/p><p>Also, while RAG focuses on retrieving and summarizing the right information, Agentic AI builds on those foundations to plan, reason, and take action. As RAG systems grow more capable, they extend into agentic behaviors: detecting anomalies, analyzing context, and autonomously coordinating the right next steps.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>FAQs: AI\/ML Technologies What do AI and ML stand f&hellip;<\/p>\n","protected":false},"author":1,"featured_media":15663,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-20459","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/appliedsmartfactory.com\/zh-hans\/wp-json\/wp\/v2\/pages\/20459","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/appliedsmartfactory.com\/zh-hans\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/appliedsmartfactory.com\/zh-hans\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/appliedsmartfactory.com\/zh-hans\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/appliedsmartfactory.com\/zh-hans\/wp-json\/wp\/v2\/comments?post=20459"}],"version-history":[{"count":0,"href":"https:\/\/appliedsmartfactory.com\/zh-hans\/wp-json\/wp\/v2\/pages\/20459\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/appliedsmartfactory.com\/zh-hans\/wp-json\/wp\/v2\/media\/15663"}],"wp:attachment":[{"href":"https:\/\/appliedsmartfactory.com\/zh-hans\/wp-json\/wp\/v2\/media?parent=20459"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}