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Prompt Engineering Best Practices: Using a Prompt Pattern [AI Today Podcast]
Manage episode 411994550 series 1539200
Treść dostarczona przez AI & Data Today, AI, and Data Today. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez AI & Data Today, AI, and Data Today lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
![Prompt Engineering Best Practices: Using a Prompt Pattern [AI Today Podcast]](https://www.cognilytica.com/wp-content/uploads/2024/04/Using-a-prompt-pattern-1-150x150.png)
LLMs are basically big “text predictors” that try to generate outputs based on what it expects is the most likely desired output based on what the user provides as the text-based input, the prompt. Prompts are natural language instructions for an LLM provided by a human so that it will deliver the desired results you’re looking for.
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Prompt Engineering Best Practices: Using a Prompt Pattern [AI Today Podcast]
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
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Manage episode 411994550 series 1539200
Treść dostarczona przez AI & Data Today, AI, and Data Today. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez AI & Data Today, AI, and Data Today lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
LLMs are basically big “text predictors” that try to generate outputs based on what it expects is the most likely desired output based on what the user provides as the text-based input, the prompt. Prompts are natural language instructions for an LLM provided by a human so that it will deliver the desired results you’re looking for.
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