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Lesson Content

What powers Meta AI: Llama.

Meta AI is powered by Llama – a family of large language models developed by Meta Platforms, Inc. "Llama" refers to the model architecture; the specific Llama version in any given version of Meta AI may change over time. For current Llama model information, visit meta.ai or Meta's AI research pages.

**Note**: This course is independent of Meta Platforms, Inc. For authoritative current information about Llama and Meta AI's underlying technology, visit Meta's official sources.

How language models generate text – a non-technical explanation.

Llama and similar large language models do not store facts like a database and retrieve them on request. They learn statistical patterns from vast amounts of text – books, websites, conversations, research, and more. When you ask a question, the model generates a response word-by-word, predicting which words are most likely to follow given your input and the model's learned patterns.

This means:

• Responses reflect patterns in training data – not direct fact retrieval
• The model produces what is statistically likely – which is often correct but not always
• There is no "checking its work" against a database of verified facts

Why AI can be confidently wrong.

Because the model predicts likely text rather than retrieving verified facts, it can generate confident-sounding responses that are factually incorrect. This is not lying – the model has no concept of truth vs. falsehood. It generates text that patterns suggest would follow your input. If that pattern happens to produce an incorrect fact stated confidently, the model produces it without any awareness of the error.

This is why verification habits are essential – not because AI is usually wrong, but because you cannot detect errors from the confidence of the output alone.

The training data cutoff.

Llama models are trained on data up to a specific point in time. Events, research, and developments after that point are not in the model's knowledge unless web search is explicitly enabled. Always verify current information independently.