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The Art of Prompt Engineering for Language Models
Manage episode 441159848 series 3602048
Sisällön tarjoaa Eddie Chen. Eddie Chen tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
In this episode, the focus is on prompt engineering for AI like ChatGPT:
- Core Concepts: The essentials for effective prompts are clarity, specificity, context, and neutrality.
- Prompt Styles: Various styles like interrogative (questions), imperative (commands), declarative (statements), and conversational are discussed for different outcomes.
- Contextual Prompts: Utilizing past interactions, user details, and contextual information helps in generating relevant AI responses.
- Effective Techniques: The podcast covers how to ask clear questions, handle ambiguity, reveal hidden AI capabilities, and set response constraints.
- Advanced Strategies: It explores adjusting AI settings like temperature for creativity control, using conditional logic in prompts, and how plugins can expand AI functionalities, enhance knowledge, and personalize interactions.
This episode is a compact guide on crafting prompts to effectively communicate with and leverage the capabilities of sophisticated language models.
- Nx (Monorepo Tools):
- Angular:
- NestJS:
- Node.js:
- Visual Studio Code (for Nx Console Extension):
- Deployment Platforms:
- Render:
- Netlify:
- Vercel (implied for front-end deployment like Next.js but relevant for Angular too):
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