AI
How Large Language Models Work: The Technology Behind ChatGPT
Learn how large language models like ChatGPT, Claude, and Gemini work, from training and transformers to prediction, reasoning, and AI agents.
Technology writer
Nihal Singh is a technology writer at TechAmerica.ai covering artificial intelligence, software, startups, cybersecurity, computing, and emerging technologies. With a strong technical background, he focuses on the systems and technologies behind the products, companies, and developments he reports on. His interests include machine learning, software development, developer tools, infrastructure, automation, APIs, and security. Nihal has hands-on experience with technologies including Python, PyTorch, Hugging Face, BERT, FastAPI, SQL, Docker, and the OpenAI API. That practical experience gives him useful context when evaluating new software, AI tools, technical platforms, and industry developments. His writing is focused on making complex technology easier to understand without oversimplifying it. At TechAmerica.ai, he aims to explain what a technology does, how it works, and why it matters to readers following the fast-moving technology industry.
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Learn how large language models like ChatGPT, Claude, and Gemini work, from training and transformers to prediction, reasoning, and AI agents.
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