LLMs like ChatGPT and Claude are neural networks trained on vast datasets of online text and conversations. By analyzing countless sentences and passages, they learn patterns and relationships in natural language to interpret requests and form relevant responses. Their capabilities are astounding – Claude can write poems and articles, debate ideas, offer technical support, complete coding tasks, answer complex questions on topics ranging from politics to quantum physics and more. I created this site to help curious readers grasp how LLMs are built, their strengths versus limitations, potential applications and risks. Key questions include: how exactly do they absorb and model language? What stops them acting improperly or providing false information? What new possibilities do they offer for education, business, scientific research and daily life? Please explore my blog for accessible explanations unpacking these fascinating models poised to transform AI.