{"id":12910,"date":"2026-08-10T10:51:57","date_gmt":"2026-08-10T10:51:57","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/maven-analytics-how-large-language-models-llms-work-2025-10\/"},"modified":"2026-08-10T10:51:57","modified_gmt":"2026-08-10T10:51:57","slug":"maven-analytics-how-large-language-models-llms-work-2025-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/maven-analytics-how-large-language-models-llms-work-2025-10\/","title":{"rendered":"Maven Analytics \u2013 How Large Language Models (LLMs) Work 2025-10"},"content":{"rendered":"
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Descriptions<\/h2>\n

How Large Language Models (LLMs) Work, Large language models (LLMs) like ChatGPT, Gemini, and Copilot have transformed how we interact with computers, and understanding how they work is key for anyone curious about modern artificial intelligence (AI). In this course, you\u2019ll explore the core concepts that make LLMs so powerful, starting with deep learning and pretrained models. You\u2019ll learn why Transformers have become the dominant architecture in natural language processing (NLP), and how they enable natural, human-like language generation. Then, you\u2019ll dive into the three main components of a Transformer: embeddings, attention, and feedforward neural networks, and see how encoder-only, decoder-only, and encoder-decoder models differ. You\u2019ll also explore popular pretrained models like BERT, GPT, and T5. By the end, you\u2019ll have a solid conceptual grasp of how Transformers and large language models work, giving you the vocabulary and confidence to keep up with AI\u2019s fast-evolving landscape. If you want a visual, no-code introduction to the technology powering today\u2019s most advanced language models, this is the course for you.<\/p>\n

What you\u2019ll learn<\/h3>\n