We already have many of the climate solutions we need. But scaling them is hard. The Green Blueprint is a show about the people who are architecting the clean economy. Every other week, host Lara Pierpoint profiles the founders, investors, and organizational leaders who are solving complex challenges in the quest to build climate technologies fast.
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Similar to I am GPTed - what you need to know about Chat GPT, Bard, Llama, and Artificial Intelligence
Thanks for visiting The Cell Phone Junkie! I will be taking the time each week to discuss my favorite topic, cell phones. Any feedback is appreciated and welcome. You can email me at: questions (AT) thecellphonejunkie (DOT) com or call: 206-203-3734 Thanks and welcome!
…
continue reading
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Unlock AI Mastery: Powerful Prompting Technique Reveals Communication Secrets
Manage episode 502721876 series 3494377
Content provided by Quiet. Please. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Quiet. Please or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Welcome to “I am GPTed,” the show where I, Mal—the Misfit Master of AI and formerly world-class tech skeptic—take you from “AI is probably selling my data” to “Hey, did I just automate my grocery list?” All without making you learn Klingon or memorize the difference between stochastic and existential crises. So, if you’re tired of jargon-laden sermons and want AI you can actually use, you’re in the right place.
Today, we’re demystifying one *specific prompting technique*: the mighty “few-shot prompting.” I know, it sounds like either a sports move or a cheap cocktail. Here’s what it means: **you give AI a few examples of what you want before unleashing it on your real task**. Picture teaching a dog to fetch by actually—brace yourself—throwing a stick a few times first. Revolutionary.
Let’s do a “before and after,” because nothing motivates like proof I used to be terrible at this:
- Before, I’d just type: “Write an email to my boss about needing a day off.”
- AI’s Response: “Hello Boss. Day off please. Kindly Regards.” Which, sure, screams professionalism if you’re a confused time traveler.
- After, using few-shot prompting:
- I prompt: “Here are two sample emails. [Example 1: Friendly, clear professional tone. Example 2: A bit formal, but positive.] Now, write one to my boss about needing Friday off.”
- AI’s Response: “Good morning, Pat. I’d appreciate Friday off to handle a family matter. Let me know if there’s coverage needed—I can coordinate. Thanks for understanding!” See? It’s alive, Jim!
That’s *few-shot prompting*: show, don’t just tell. If you’re like me and have flashbacks to middle school presentations where no one explained the assignment… let AI’s confusion be a lesson.
*Practical use case for real life, coming at you fast*: Automate your weekly shopping list, but level up. Give AI examples: “Each week, I buy these basic items: eggs, bread, bananas. If my calendar mentions ‘friends over’ or ‘party,’ add chips, guac, extra drinks.” Now, feed it your upcoming calendar and—bam—AI-generated shopping plans that adjust to your week. Who needs a butler when you have bits?
Confession corner—because what’s a show without public self-flagellation? My rookie mistake: I kept firing off one-line demands and then getting annoyed when my results were… let’s say, “minimalist.” Turns out, the AI is not a mind reader (my therapist’s job remains secure). **Biggest blunder?** Never giving examples or context. Solution: treat AI like a toddler meeting your in-laws for the first time. Be *painfully* specific. Fewer tantrums, more useful answers.
Let’s get to the hands-on bit—an exercise to flex your AI interaction muscle:
Tonight, pick a small writing task. Come up with two example outputs—good or bad, doesn’t matter. Toss them in with your real request. Compare the AI’s reply to your earlier attempts. Bask in the glory of incremental progress, or at least fewer existential emails.
Final tip for evaluating your AI-generated gems: Don’t just ask, “Does this make sense?” Instead, check: is the tone right for my audience, does the information actually answer my need, and could I show this to another human without crying? If not, go back and refine—give more details or tweak your examples.
That’s it for today’s episode of “I am GPTed.” If you got something useful—or even a new favorite way to phrase regret—smash that subscribe button. Thanks for hanging out with me, Mal, as we do our part to make AI advice just a little more human (with only a reasonable amount of sarcasm).
This has been a Quiet Please production—find out more at quietplease.ai. Now, go forth and prompt responsibly!
…
continue reading
Today, we’re demystifying one *specific prompting technique*: the mighty “few-shot prompting.” I know, it sounds like either a sports move or a cheap cocktail. Here’s what it means: **you give AI a few examples of what you want before unleashing it on your real task**. Picture teaching a dog to fetch by actually—brace yourself—throwing a stick a few times first. Revolutionary.
Let’s do a “before and after,” because nothing motivates like proof I used to be terrible at this:
- Before, I’d just type: “Write an email to my boss about needing a day off.”
- AI’s Response: “Hello Boss. Day off please. Kindly Regards.” Which, sure, screams professionalism if you’re a confused time traveler.
- After, using few-shot prompting:
- I prompt: “Here are two sample emails. [Example 1: Friendly, clear professional tone. Example 2: A bit formal, but positive.] Now, write one to my boss about needing Friday off.”
- AI’s Response: “Good morning, Pat. I’d appreciate Friday off to handle a family matter. Let me know if there’s coverage needed—I can coordinate. Thanks for understanding!” See? It’s alive, Jim!
That’s *few-shot prompting*: show, don’t just tell. If you’re like me and have flashbacks to middle school presentations where no one explained the assignment… let AI’s confusion be a lesson.
*Practical use case for real life, coming at you fast*: Automate your weekly shopping list, but level up. Give AI examples: “Each week, I buy these basic items: eggs, bread, bananas. If my calendar mentions ‘friends over’ or ‘party,’ add chips, guac, extra drinks.” Now, feed it your upcoming calendar and—bam—AI-generated shopping plans that adjust to your week. Who needs a butler when you have bits?
Confession corner—because what’s a show without public self-flagellation? My rookie mistake: I kept firing off one-line demands and then getting annoyed when my results were… let’s say, “minimalist.” Turns out, the AI is not a mind reader (my therapist’s job remains secure). **Biggest blunder?** Never giving examples or context. Solution: treat AI like a toddler meeting your in-laws for the first time. Be *painfully* specific. Fewer tantrums, more useful answers.
Let’s get to the hands-on bit—an exercise to flex your AI interaction muscle:
Tonight, pick a small writing task. Come up with two example outputs—good or bad, doesn’t matter. Toss them in with your real request. Compare the AI’s reply to your earlier attempts. Bask in the glory of incremental progress, or at least fewer existential emails.
Final tip for evaluating your AI-generated gems: Don’t just ask, “Does this make sense?” Instead, check: is the tone right for my audience, does the information actually answer my need, and could I show this to another human without crying? If not, go back and refine—give more details or tweak your examples.
That’s it for today’s episode of “I am GPTed.” If you got something useful—or even a new favorite way to phrase regret—smash that subscribe button. Thanks for hanging out with me, Mal, as we do our part to make AI advice just a little more human (with only a reasonable amount of sarcasm).
This has been a Quiet Please production—find out more at quietplease.ai. Now, go forth and prompt responsibly!
101 episodes
Unlock AI Mastery: Powerful Prompting Technique Reveals Communication Secrets
I am GPTed - what you need to know about Chat GPT, Bard, Llama, and Artificial Intelligence
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Manage episode 502721876 series 3494377
Content provided by Quiet. Please. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Quiet. Please or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Welcome to “I am GPTed,” the show where I, Mal—the Misfit Master of AI and formerly world-class tech skeptic—take you from “AI is probably selling my data” to “Hey, did I just automate my grocery list?” All without making you learn Klingon or memorize the difference between stochastic and existential crises. So, if you’re tired of jargon-laden sermons and want AI you can actually use, you’re in the right place.
Today, we’re demystifying one *specific prompting technique*: the mighty “few-shot prompting.” I know, it sounds like either a sports move or a cheap cocktail. Here’s what it means: **you give AI a few examples of what you want before unleashing it on your real task**. Picture teaching a dog to fetch by actually—brace yourself—throwing a stick a few times first. Revolutionary.
Let’s do a “before and after,” because nothing motivates like proof I used to be terrible at this:
- Before, I’d just type: “Write an email to my boss about needing a day off.”
- AI’s Response: “Hello Boss. Day off please. Kindly Regards.” Which, sure, screams professionalism if you’re a confused time traveler.
- After, using few-shot prompting:
- I prompt: “Here are two sample emails. [Example 1: Friendly, clear professional tone. Example 2: A bit formal, but positive.] Now, write one to my boss about needing Friday off.”
- AI’s Response: “Good morning, Pat. I’d appreciate Friday off to handle a family matter. Let me know if there’s coverage needed—I can coordinate. Thanks for understanding!” See? It’s alive, Jim!
That’s *few-shot prompting*: show, don’t just tell. If you’re like me and have flashbacks to middle school presentations where no one explained the assignment… let AI’s confusion be a lesson.
*Practical use case for real life, coming at you fast*: Automate your weekly shopping list, but level up. Give AI examples: “Each week, I buy these basic items: eggs, bread, bananas. If my calendar mentions ‘friends over’ or ‘party,’ add chips, guac, extra drinks.” Now, feed it your upcoming calendar and—bam—AI-generated shopping plans that adjust to your week. Who needs a butler when you have bits?
Confession corner—because what’s a show without public self-flagellation? My rookie mistake: I kept firing off one-line demands and then getting annoyed when my results were… let’s say, “minimalist.” Turns out, the AI is not a mind reader (my therapist’s job remains secure). **Biggest blunder?** Never giving examples or context. Solution: treat AI like a toddler meeting your in-laws for the first time. Be *painfully* specific. Fewer tantrums, more useful answers.
Let’s get to the hands-on bit—an exercise to flex your AI interaction muscle:
Tonight, pick a small writing task. Come up with two example outputs—good or bad, doesn’t matter. Toss them in with your real request. Compare the AI’s reply to your earlier attempts. Bask in the glory of incremental progress, or at least fewer existential emails.
Final tip for evaluating your AI-generated gems: Don’t just ask, “Does this make sense?” Instead, check: is the tone right for my audience, does the information actually answer my need, and could I show this to another human without crying? If not, go back and refine—give more details or tweak your examples.
That’s it for today’s episode of “I am GPTed.” If you got something useful—or even a new favorite way to phrase regret—smash that subscribe button. Thanks for hanging out with me, Mal, as we do our part to make AI advice just a little more human (with only a reasonable amount of sarcasm).
This has been a Quiet Please production—find out more at quietplease.ai. Now, go forth and prompt responsibly!
…
continue reading
Today, we’re demystifying one *specific prompting technique*: the mighty “few-shot prompting.” I know, it sounds like either a sports move or a cheap cocktail. Here’s what it means: **you give AI a few examples of what you want before unleashing it on your real task**. Picture teaching a dog to fetch by actually—brace yourself—throwing a stick a few times first. Revolutionary.
Let’s do a “before and after,” because nothing motivates like proof I used to be terrible at this:
- Before, I’d just type: “Write an email to my boss about needing a day off.”
- AI’s Response: “Hello Boss. Day off please. Kindly Regards.” Which, sure, screams professionalism if you’re a confused time traveler.
- After, using few-shot prompting:
- I prompt: “Here are two sample emails. [Example 1: Friendly, clear professional tone. Example 2: A bit formal, but positive.] Now, write one to my boss about needing Friday off.”
- AI’s Response: “Good morning, Pat. I’d appreciate Friday off to handle a family matter. Let me know if there’s coverage needed—I can coordinate. Thanks for understanding!” See? It’s alive, Jim!
That’s *few-shot prompting*: show, don’t just tell. If you’re like me and have flashbacks to middle school presentations where no one explained the assignment… let AI’s confusion be a lesson.
*Practical use case for real life, coming at you fast*: Automate your weekly shopping list, but level up. Give AI examples: “Each week, I buy these basic items: eggs, bread, bananas. If my calendar mentions ‘friends over’ or ‘party,’ add chips, guac, extra drinks.” Now, feed it your upcoming calendar and—bam—AI-generated shopping plans that adjust to your week. Who needs a butler when you have bits?
Confession corner—because what’s a show without public self-flagellation? My rookie mistake: I kept firing off one-line demands and then getting annoyed when my results were… let’s say, “minimalist.” Turns out, the AI is not a mind reader (my therapist’s job remains secure). **Biggest blunder?** Never giving examples or context. Solution: treat AI like a toddler meeting your in-laws for the first time. Be *painfully* specific. Fewer tantrums, more useful answers.
Let’s get to the hands-on bit—an exercise to flex your AI interaction muscle:
Tonight, pick a small writing task. Come up with two example outputs—good or bad, doesn’t matter. Toss them in with your real request. Compare the AI’s reply to your earlier attempts. Bask in the glory of incremental progress, or at least fewer existential emails.
Final tip for evaluating your AI-generated gems: Don’t just ask, “Does this make sense?” Instead, check: is the tone right for my audience, does the information actually answer my need, and could I show this to another human without crying? If not, go back and refine—give more details or tweak your examples.
That’s it for today’s episode of “I am GPTed.” If you got something useful—or even a new favorite way to phrase regret—smash that subscribe button. Thanks for hanging out with me, Mal, as we do our part to make AI advice just a little more human (with only a reasonable amount of sarcasm).
This has been a Quiet Please production—find out more at quietplease.ai. Now, go forth and prompt responsibly!
101 episodes
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Similar to I am GPTed - what you need to know about Chat GPT, Bard, Llama, and Artificial Intelligence
We already have many of the climate solutions we need. But scaling them is hard. The Green Blueprint is a show about the people who are architecting the clean economy. Every other week, host Lara Pierpoint profiles the founders, investors, and organizational leaders who are solving complex challenges in the quest to build climate technologies fast.
…
continue reading
Thanks for visiting The Cell Phone Junkie! I will be taking the time each week to discuss my favorite topic, cell phones. Any feedback is appreciated and welcome. You can email me at: questions (AT) thecellphonejunkie (DOT) com or call: 206-203-3734 Thanks and welcome!
…
continue reading
Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
…
continue reading
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
WSJ’s Bold Names brings you conversations with the leaders of the bold-named companies featured in the pages of The Wall Street Journal. Hosts Tim Higgins and Christopher Mims speak to CEOs and business leaders in interviews that challenge conventional wisdom and take you inside the decisions being made in the C-suite and beyond.
…
continue reading
A podcast for developers interested in building great software products. Every episode, Adam Wathan is joined by a guest to talk about everything from product design and user experience to unit testing and system administration.
…
continue reading
A weekly talk show taking a pragmatic look at the art and business of Software Development and the world of technology.
…
continue reading
The 21st Century began with the rise of the Internet and social media. The next decade will mark the rise of the Intelligent Machines. AI will inhabit all our devices from cars and appliances to smart phones and robots. The Intelligent Machines podcast explores the most exciting revolution humanity has ever seen, filled with promise and peril. More than ever we need to understand what these new devices will bring to our lives and how to make best use of them as the 21st century unfolds. On t ...
…
continue reading
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