The emergence of Large Language Models (LLMs) was a natural extension of the movement towards structured open data and the Open Source philosophy. When data becomes organized, accessible and machine-readable, the next step is a tool that can interact with this information without the need to write complex code or possess specialized technical knowledge.
LLMs are a direct product of openness: large open datasets, publications, and the Open Source movement. Without open scholarly articles, publicly available textual data, and a culture of collaborative development, there would be no ChatGPT or other LLMs. The LLM is, in a sense, a “distillate” of humanity’s accumulated digital knowledge, gathered and educated through the principles of openness.
Modern large language models (LLM – Large Language Models) such as ChatGPT ® (OpenAI), LlaMa ™ (Meta AI), Mistral DeepSeek™, Grok ™ (xAI), Claude ™ (Anthropic), QWEN™ provide users with the ability to formulate queries to data in natural language. This makes working with information accessible not only to developers, but also to analysts, engineers, designers, managers, and other professionals previously distant from programming
LLM (Large Language Model) is an artificial intelligence that is trained to understand and generate text based on vast amounts of data collected from all over the internet. It is capable of analyzing context, answering questions, engaging in dialogue, writing text, and generating program code.
If earlier visualization, processing or analysis of data required knowledge of a special programming language: Python, SQL, R or Scala, as well as the ability to work with libraries like Pandas, Polars or DuckDB and many others, then starting from 2023 the situation has changed radically. Now the user can simply describe what he wants to get – and the model itself will generate the code, execute it, display a table or graph and explain the result. For the first time in decades, the development of technology has not followed the path of complication, but the path of radical simplification and accessibility.
This principle – “process data with words (prompts)” – marked a new stage in the evolution of working with information, effectively taking the creation of solutions to an even higher level of abstraction. Just as it was once no longer necessary for users to understand the technical underpinnings of the Internet to run online stores or create websites using WordPress, Joomla, and other open source modular systems (av tor the book has been working with such systems since 2005, including educational and engineering online platforms). – This, in turn, has led to a boom in digital content and online business – today engineers, analysts, and managers can automate work processes without knowledge of programming languages. This is facilitated by powerful LLMs – both free and open source, such as LLaMA, Mistral, Qwen, DeepSeek and others – that make advanced technologies accessible to the widest possible audience.
