DeepSeek × Octopus AI Large Model Platform: Decoding GETECH's AI Service Explosion Equation--Replication
The deep integration of generative AI technology, pre-trained large models, and industrial scenarios is becoming a development trend in industrial AI. Earlier this year, DeepSeek became the preferred large model provider for advanced manufacturing enterprises in China due to its strong performance, low cost, and high efficiency. As a leading benchmark enterprise in China's industrial AI field, GETECH's "Octopus AI Large Model Platform" helps advanced manufacturing efficiently build and operate generative AI-native applications by providing capabilities from Agent construction to Workflow orchestration, end-to-end RAG retrieval, model evaluation management, industry application components, and enterprise data integration. Recently, GETECH's "Octopus AI Large Model Platform" has completed deep collaboration with DeepSeek V3/R1. After integrating the model, the "Octopus AI Large Model Platform" will unleash greater service potential in smart manufacturing, enabling faster construction of intelligent knowledge bases, intelligent agent cockpits, and intelligent quality inspection. It also provides scientific decision-making suggestions for handling complex production conditions, factory troubleshooting, automatic task dispatching, equipment predictive intelligent control, yield improvement, and energy-carbon predictive management, enhancing production rhythm and quality. This collaboration brings profound changes to AI application services, scenario intelligence acceleration, and "predictive" production methods in advanced manufacturing industries such as semiconductors.
As a benchmark of smart manufacturing in China with high automation and a solid data foundation, advanced manufacturing still faces many challenges in the process of advancing new industrialization:
1. Multi-system coordination challenges: Lack of intelligent engines for multi-system intelligent scheduling and resource allocation.
These capability enhancements will bring new experiences to more segmented scenarios in advanced manufacturing: Vertical expert large models are highly professional. Engineers can input requirements to get answers to professional questions, conduct literature analysis, and share knowledge within 1 minute in scenarios such as system solutions, problem-solving, and solution design and review, improving efficiency by 50%. AI operational decision systems are more efficient. Enterprise strategic goals are hierarchically broken down into indicators, with analysis of indicator lineage, correlations, root cause identification, unmet indicators, predictive warnings, and decision-making. The self-developed AI operational decision platform includes tools such as AI indicator analysis, ChatBI/ChatSearch, indicator construction Agent, and indicator improvement Agent, helping enterprises reduce costs and increase efficiency by 10-100 million yuan/year. The equipment intelligent control assistant is reliable. Faced with multi-modal abnormal equipment reports, it can query the "Xiao Luban" large model assistant, which integrates intelligent Q&A and search, in real-time. It covers equipment intelligent control assistance for 4 production bases and 100+ departments of a leading pan-semiconductor enterprise, improving minor fault handling efficiency by 62% and major fault handling efficiency by 30%. Quality management is convenient. It has achieved AI-generated 8D reports, improving compilation efficiency by 90% and saving 80% of manpower. Quality improvement is precise. The AI Agent dynamic model automates data cleaning, variable input, feature engineering, and model selection, maintaining optimal effects, improving yield, and reducing scrap by 20%. The work order AI assistant is ultra-fast. AI identifies work orders, accepts them, and directly places orders based on the knowledge base operation manual. It helps customers complete AI work order acceptance in 3-5 seconds, with a one-click order entry accuracy rate of up to 97%. The smart factory BI dashboard is intuitive. It equips every engineer with an AI intelligent data analyst assistant, using unprecedented interaction methods to easily gain business insights from data, simplifying and lowering the barrier to data analysis. Marketing/customer service digital employees are super intelligent. They provide instant access to new product introductions, product parameters, selling points, and multi-format multimedia information, with AI employees precisely targeting user needs for intelligent marketing. In the service practice of a leading pan-semiconductor customer, based on an external knowledge base and a display field expert large model, the system's paper library expanded to 210,000+ papers, accumulating 3,000 industry monographs, reducing vertical problem analysis time by 20%, and significantly improving problem analysis professionalism.
GETECH has always adhered to the vision of "making industry smarter," actively deploying in the AI and industrial large model fields, long-term refining and validating its flagship AI products, committed to accelerating cross-system integration and data analysis with AI, reducing the learning cost for frontline engineers, and minimizing system integration development costs. Its explosive AI service capabilities and market performance earned it dual certifications as a leading provider of industrial AI solutions and industrial AI large models by IDC in 2024.
In 2025, GETECH will continue to integrate the latest developments in domestic large models, investing nearly 100 million yuan to focus on AI general platform service tools and AI algorithm technological innovation, continuously iterating its AI service capabilities, building absolute advantages, leading the popularization and application of AI in the semiconductor industry, and pressing the start button for advanced manufacturing to enter the AI era.
As a benchmark of smart manufacturing in China with high automation and a solid data foundation, advanced manufacturing still faces many challenges in the process of advancing new industrialization:
1. Multi-system coordination challenges: Lack of intelligent engines for multi-system intelligent scheduling and resource allocation.
2. Discontinuous drill-down under centralized control: Difficulty in achieving coherent multi-level drill-down, root cause identification, and decision-making actions in operational cockpits.
3. Comprehensive intelligence dilemma: Lack of intelligent tools spanning precise data collection to intelligent decision-making actions.
4. Low human-machine collaboration efficiency: Digital collaboration accuracy among equipment, systems, and field engineers relies heavily on experience.
To address these challenges, GETECH launched the Octopus AI Large Model Platform. This platform, centered on AI and large model technologies and using AI industrial applications as tools, integrates nearly 40 years of expertise from TCL's pan-semiconductor industry, becoming a "secret weapon" to deeply solve these problems. After integrating DeepSeek, the Octopus AI Large Model Platform will maximize its performance: 1. Expert in complex data processing. Leveraging the MLA and MOE fusion architecture, the platform's top-level AI applications will more accurately locate required data, improve efficiency in processing complex data, and enhance the quality of generative content.2. Decision-making and reasoning expert. DeepSeek significantly enhances model reasoning capabilities through multi-stage training strategies, including supervised fine-tuning (SFT), reinforcement learning (RL), and model distillation techniques. Based on DeepSeek's strong reasoning capabilities, the reasoning performance of AI applications on the Octopus platform will be greatly improved, achieving significant optimization and expanded application scenarios.
3. User-friendly application platform. Relying on its unique MoE Sparse structure, it minimizes computational requirements, reduces the cost of large model computing power calls, alleviates service congestion, and more stably supports AI application calls and concurrency.
4. Rapid development of service-level AI tools. It can also create more service-level AI tools tailored to specific scenarios in advanced manufacturing.
The Octopus AI Large Model Platform will significantly enhance its capabilities in intelligent Q&A, reasoning and decision-making, model evolution, and application orchestration, providing strong support for efficient production and management functions in advanced manufacturing.These capability enhancements will bring new experiences to more segmented scenarios in advanced manufacturing: Vertical expert large models are highly professional. Engineers can input requirements to get answers to professional questions, conduct literature analysis, and share knowledge within 1 minute in scenarios such as system solutions, problem-solving, and solution design and review, improving efficiency by 50%. AI operational decision systems are more efficient. Enterprise strategic goals are hierarchically broken down into indicators, with analysis of indicator lineage, correlations, root cause identification, unmet indicators, predictive warnings, and decision-making. The self-developed AI operational decision platform includes tools such as AI indicator analysis, ChatBI/ChatSearch, indicator construction Agent, and indicator improvement Agent, helping enterprises reduce costs and increase efficiency by 10-100 million yuan/year. The equipment intelligent control assistant is reliable. Faced with multi-modal abnormal equipment reports, it can query the "Xiao Luban" large model assistant, which integrates intelligent Q&A and search, in real-time. It covers equipment intelligent control assistance for 4 production bases and 100+ departments of a leading pan-semiconductor enterprise, improving minor fault handling efficiency by 62% and major fault handling efficiency by 30%. Quality management is convenient. It has achieved AI-generated 8D reports, improving compilation efficiency by 90% and saving 80% of manpower. Quality improvement is precise. The AI Agent dynamic model automates data cleaning, variable input, feature engineering, and model selection, maintaining optimal effects, improving yield, and reducing scrap by 20%. The work order AI assistant is ultra-fast. AI identifies work orders, accepts them, and directly places orders based on the knowledge base operation manual. It helps customers complete AI work order acceptance in 3-5 seconds, with a one-click order entry accuracy rate of up to 97%. The smart factory BI dashboard is intuitive. It equips every engineer with an AI intelligent data analyst assistant, using unprecedented interaction methods to easily gain business insights from data, simplifying and lowering the barrier to data analysis. Marketing/customer service digital employees are super intelligent. They provide instant access to new product introductions, product parameters, selling points, and multi-format multimedia information, with AI employees precisely targeting user needs for intelligent marketing. In the service practice of a leading pan-semiconductor customer, based on an external knowledge base and a display field expert large model, the system's paper library expanded to 210,000+ papers, accumulating 3,000 industry monographs, reducing vertical problem analysis time by 20%, and significantly improving problem analysis professionalism.
GETECH has always adhered to the vision of "making industry smarter," actively deploying in the AI and industrial large model fields, long-term refining and validating its flagship AI products, committed to accelerating cross-system integration and data analysis with AI, reducing the learning cost for frontline engineers, and minimizing system integration development costs. Its explosive AI service capabilities and market performance earned it dual certifications as a leading provider of industrial AI solutions and industrial AI large models by IDC in 2024.
In 2025, GETECH will continue to integrate the latest developments in domestic large models, investing nearly 100 million yuan to focus on AI general platform service tools and AI algorithm technological innovation, continuously iterating its AI service capabilities, building absolute advantages, leading the popularization and application of AI in the semiconductor industry, and pressing the start button for advanced manufacturing to enter the AI era.
