This episode covers practical applications of AI in everyday life, from simple email drafting to sophisticated company research. We discuss different prompting techniques such as few-shot prompting and chain of thought prompting to improve the quality and accuracy of AI-generated responses. We also discuss custom instructions, custom GPTs, and explore the powerful potential of AI in automating repetitive tasks. Tune in to discover how you can harness the power of AI to enhance productivity and streamline your workflows.
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🧠 Key concepts
Identifying AI Use Cases: Look for tasks in your life that are repeatable, time-consuming, and frustrating to see where AI can help.
General Purpose AI vs. Purpose-Built AI: General purpose AI (e.g. ChatGPT) is great for a wide range of tasks, while purpose-built AI (e.g. Adobe Acrobat AI) can be more efficient for specific tasks and workflows.
Prompt Engineering: The quality of AI output is significantly improved with well-crafted prompts. Use the few-shot prompting technique by giving examples to guide the AI model's response.
Chain of Thought Prompting: Encouraging AI to think out loud and show its reasoning can lead to more accurate and thoughtful responses.
Custom GPTs: Creating custom GPTs tailored to specific tasks can save time and increase efficiency. This involves setting custom instructions, uploading relevant files, and enabling specific capabilities.
🔗 Links
💬 Keywords
#AI #ArtificialIntelligence #GenerativeAI #GenAI #PromptEngineering #LLM #MachineLearning #ML #tech #podcast
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