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Significant changes are brewing in the construction data processing industry. DeepSeek-V3, a free open source model, is showing capabilities that surpass the best of OpenAI.

DeepSeek-V3, a free open source model, is showing capabilities that surpass the best of OpenAI.

DeepSeek-V3 was published a few weeks ago, and according to most tests, it outperforms the latest models from OpenAI, which users pay up to $200 a month to access.

DeepSeek, ChatGPT, Llama, and other 𝗟𝗟𝗠𝘀 𝗴𝗿𝗲𝗮𝘁𝗹𝘆 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝘁𝗵𝗲 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻, 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀, 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴. These tools allow users to formulate data queries without resorting to programmers or learning programming languages and various frameworks on their own.

I already know a dozen professionals with no programming experience who became data analysts in their companies thanks to LLM Chat.

Since much of the construction business is based on working with tables and databases, any professional can now automate processes, connect to data and create pipelines right on their computer. They can already be run on NVIDIA and Apple devices.

Construction professionals and engineers without deep programming knowledge will now use tools such as DeepSeek, ChatGPT (OpenAI) and LLaMA (Meta AI) to automate process logic and replace the functions of individual specialists or entire departments.

Examples of such solutions in the comments below the post ⬇️

LLM models such as ChatGPT, LLaMA and DeepSeek will 𝗮𝗹𝗹𝗼𝘄 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗱𝗲𝗲𝗽 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝘁𝗼 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗼𝗳 𝗮 𝗰𝗼𝗺𝗽𝗮𝗻𝘆'𝘀 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 processes.

DeepSeek has done the almost impossible: it provides OpenSource models of premium quality available to both private users and companies, including commercial use under the MIT license.

If you don't appreciate the importance of these tools today, you could be in serious trouble in a few years.

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  • ALL THE CHAPTERS IN THIS PART
  • A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH (8)
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  • COST AND SCHEDULE FORECASTING USING MACHINE LEARNING (4)
  • DATA WAREHOUSE MANAGEMENT AND CHAOS PREVENTION (4)
  • EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY (4)
  • IDE WITH LLM SUPPORT AND FUTURE PROGRAMMING CHANGES (4)
  • QUANTITY TAKE-OFF AND AUTOMATIC CREATION OF ESTIMATES AND SCHEDULES (4)
  • THE DIGITAL REVOLUTION AND THE EXPLOSION OF DATA (4)
  • Uncategorized (4)
  • CLOSED PROJECT FORMATS AND INTEROPERABILITY ISSUES (3)
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  • AUTOMATIC ETL CONVEYOR (PIPELINE) (2)

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057 Speed of decision making depends on data quality

Today’s design data architecture is undergoing fundamental changes. The industry is moving away from bulky, isolated models and closed formats towards more flexible, machine-readable structures focused on analytics, integration and process automation. However, the transition...

060 A common language of construction the role of classifiers in digital transformation

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061 Masterformat, OmniClass, Uniclass and CoClass the evolution of classification systems

Historically, construction element and work classifiers have evolved in three generations, each reflecting the level of available technology and the current needs of the industry in a particular time period (Fig. 4.2-8): First generation (early...

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What You'll Find on
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  • ETL pipelines for data synchronization between systems
  • Customizable Python scripts for repetitive tasks
  • Intelligent data validation and error detection
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  • Automated reporting systems
Significant changes are brewing in the construction data processing industry. DeepSeek-V3, a free open source model, is showing capabilities that surpass the best of OpenAI.
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