{"id":22037,"date":"2026-03-26T20:40:59","date_gmt":"2026-03-26T20:40:59","guid":{"rendered":"https:\/\/codegen.com\/blog\/glossary\/llm-large-language-model\/"},"modified":"2026-03-26T20:40:59","modified_gmt":"2026-03-26T20:40:59","slug":"llm-large-language-model","status":"publish","type":"glossary-term","link":"https:\/\/codegen.com\/blog\/glossary\/llm-large-language-model\/","title":{"rendered":"LLM (Large Language Model)"},"content":{"rendered":"<p>A large language model is a neural network trained on massive text datasets to predict and generate human-like text. LLMs power all modern AI coding tools, from inline autocomplete to autonomous agents.<\/p>\n<p>The major LLM families used in coding tools include GPT (OpenAI, used by Copilot), Claude (Anthropic, used by Claude Code), Gemini (Google), and various open-source models like Llama and Mistral.<\/p>\n<p>Model size, training data, and fine-tuning determine what a model can do. Larger models with code-specific training generally perform better on complex programming tasks, but smaller models can be faster and cheaper for routine completions.<\/p>\n","protected":false},"template":"","glossary-category":[45],"class_list":["post-22037","glossary-term","type-glossary-term","status-publish","hentry","glossary-category-ai-fundamentals"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>LLM (Large Language Model) - The Codegen Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/codegen.com\/blog\/glossary\/llm-large-language-model\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LLM (Large Language Model)\" \/>\n<meta property=\"og:description\" content=\"A large language model is a neural network trained on massive text datasets to predict and generate human-like text. 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