[sp332]

That's the whole context with two user inputs in the INST tags, and one assistant output between/outside of the tags. They're just simulating the beginning of a conversation. You can see this very clearly in the JSON version in the next code block:

  messages = [
    {"role": "user", "content": "What is your favourite condiment?"},
    {"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"},
    {"role": "user", "content": "Do you have mayonnaise recipes?"}
  ]

[nl]

Yes, but this whole block of text gets passed to the LLM on each call as the conversation history. The [INST] tags tell the LLM which parts were inputs (system instructions) as opposed to outputs.

[sp332]

Well, that's not what a system prompt is. There is a difference between system prompts and regular conversational inputs. https://platform.openai.com/docs/guides/prompt-engineering/t...

[nl]

In actual fact system prompts are just the instruction tuning prompts that provide instructions formatted in the correct way (ie, with [INST]). It's just text all the way down.