Episode 01: From Text to Tokens - How the Machine Sees You скачать в хорошем качестве

Episode 01: From Text to Tokens - How the Machine Sees You

⚠️ Educational Use Only This video is for educational and informational purposes only. It does not constitute professional, legal, security, or operational advice. You are solely responsible for how you apply anything discussed here. Large Language Models don’t read words — they read numbers. In this episode, we peel back the illusion of “understanding” and look at what actually happens when you type a prompt. From tokenization and embeddings to attention, probability, and why models struggle with maths, this is the foundation everything else in the series is built on. You’ll learn: What tokens really are (and why words are a lie) How embeddings turn language into geometry Why LLMs feel intelligent without thinking How probability pulls models toward bland, safe answers Why hallucinations aren’t bugs — they’re incentives 🔐 Data Security Reminder Never paste sensitive, personal, or proprietary data into an LLM. Prompts may be logged, stored, or reused depending on the platform. Treat every input as potentially non-private. This episode sets the ground truth: models predict patterns, not truth. For more information, please visit https://www.chris-rushton.co.uk