Tokens are an important foundational concept that underlie how we interact with LLMs. @greggyb and myself recorded a quick video to demystify what a token actually is and unpack several other related concepts.
To paint a bigger picture: more context you give a large language model, the better your responses are likely to be. The design patterns for providing that context have evolved at a rapid pace, and are likely to continue doing so.
What AI terms should we demystify next? Let us know!
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