[
  {
    "t": "00:00",
    "label": "Introduction: The script completion analogy"
  },
  {
    "t": "00:37",
    "label": "What is a Large Language Model (LLM)?"
  },
  {
    "t": "00:51",
    "label": "How LLMs are used to construct chatbots"
  },
  {
    "t": "01:28",
    "label": "Pre-training on massive internet data"
  },
  {
    "t": "01:48",
    "label": "Parameters, weights, and backpropagation"
  },
  {
    "t": "03:19",
    "label": "The scale of computations in LLM training"
  },
  {
    "t": "03:45",
    "label": "Step 1 (Pre-training) vs. Step 2 (RLHF)"
  },
  {
    "t": "04:15",
    "label": "Hardware (GPUs) and sequential vs. parallel processing"
  },
  {
    "t": "04:37",
    "label": "The Transformer architecture and Attention mechanism"
  },
  {
    "t": "05:37",
    "label": "Feedforward layers and context refinement"
  },
  {
    "t": "06:28",
    "label": "Emergent behavior and concluding thoughts"
  }
]