{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"What Happens Inside an LLM When You Type “Hello”?","html":"","width":"100%","height":180,"duration":758,"description":"\n This story was originally published on HackerNoon at: https://hackernoon.com/what-happens-inside-an-llm-when-you-type-hello.\nA beginner-friendly walkthrough of how LLMs turn text into tokens, embeddings, attention patterns, probabilities, and generated responses.\nCheck more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n You can also check exclusive content about #large-language-models, #transformer-architecture, #attention-mechanism, #self-attention, #instruction-tuning, #tokenization, #generative-ai, #how-llms-think, and more.\nThis story was written by: @mhamzanadeem. Learn more about this writer by checking @mhamzanadeem's about page,\n and for more stories, please visit hackernoon.com.\nWhat looks like a simple “Hello” to us becomes a sequence of tokens, vectors, attention calculations, probabilities, and generated tokens inside an LLM. This article follows that journey step by step—from tokenization and embeddings to Transformers, training, attention, sampling, and the final response.","thumbnail_url":"https://img.transistorcdn.com/KyA01h2FD2insgk-wX_xzV6vbJnTNl2BvPYVL-XaI9A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjcyLzE2ODM1/ODI0ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}