Generative AI 101

What is the Elo Rating System?

In this episode of Generative AI 101, we discover the origins and workings of the Elo Rating System—a clever, adaptable method originally designed to rank chess players but now influencing everything from online gaming to, most importantly for us, AI models. We’ll explore how this simple yet effective system predicts match outcomes, adjusts rankings, and even finds parallels in areas like online dating. Whether you’re a game developer, an AI enthusiast, or just curious about how algorithms shape the digital world, this episode will give you a fresh perspective on the impact of Elo’s genius. 
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about the Elo Rating System than you did before!
 
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LMSYS Org & Chatbot Arena

In this episode of Generative AI 101, we’re exploring the need-to-know LMSYS Org and their innovative Chatbot Arena. LMSYS Org, a collaboration between top minds at UC Berkeley, UC San Diego, and Carnegie Melon University, is breaking new ground by making powerful AI models accessible to everyone. They’re not just creating AI—they’re building a community where anyone can contribute and evaluate top LLMs. 
We also explore the Chatbot Arena, where AI models face off in real-time, with human users like you deciding which one comes out on top. It’s more than just a contest; it’s a dynamic tool for developers to gain real-world feedback and see how their models perform under pressure. Whether you’re an AI enthusiast, developer, or just curious, this episode will show you how LMSYS Org is democratizing AI and inviting everyone to be part of the action.
 
LMSYS Org
LMSYS Chat Arena Leaderboard
 
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about the LYMSYS Org and Chatbot Arena than you did before!
 
Connect with Emily Laird on LinkedIn

How do you evaluate Generative AI?

In this episode of Generative AI 101, we explore evaluating Generative AI large language models (LLMs). Just like finding the best restaurant in town means more than judging a single dish, evaluating AI models requires a comprehensive approach. We break down why assessing performance, comparing models, and building user trust are central to evaluation. From authenticity to speed, and fairness to cost, we cover the key factors that determine an AI's true potential. 
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about LLM Evaluation than you did before!
 
Connect with Emily Laird on LinkedIn

What are AI Hallucinations?

In this episode of Generative AI 101, we’re tackling the curious case of AI hallucinations—when AI creates content that’s completely off the mark. We’ll explore how these digital daydreams happen, why humans aren’t immune to similar slip-ups, and the impact these hallucinations can have. Whether amusing or alarming, AI hallucinations are a phenomenon you’ll want to understand.
 
Check out this Paper: WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
 
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you didn't hallucinate this episode, no, this actually happened.
 
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Fine-Tuning GenAI Prompts

In this episode of Generative AI 101, we’re fine-tuning your AI prompting skills. Learn how to refine prompts to turn mediocre responses into top-tier results. We’ll cover techniques like iterative prompting, using context, and applying constraints, along with ethical considerations to ensure fairness. Get ready to make your AI work smarter, not harder.
 
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about fine-tuning your AI prompts than you did before!
 
Connect with Emily Laird on LinkedIn

The Bias & Blunders of GenAI

In this episode of Generative AI 101, we’re exploring the various flavors of generative AI bias and inaccuracy—those pesky issues that make your AI sound like it’s stuck in a 1950s sitcom. From data-driven biases baked into AI’s training to sneaky algorithmic quirks and the all-too-human flaws we project onto our creations, we explore how to recognize and mitigate these pitfalls. Learn how strategic prompting can tone down clichés and overgeneralizations, making your AI smarter and fairer. Plus, we’ll share tips on using tools like IBM’s AI Fairness 360 to keep your AI from going rogue.
 
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about generative AI bias and inaccuracy than you did before!
 
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What is BAB Prompting?

In this episode of Generative AI 101, we catch a wave into the BAB framework (we're totally calling it "BABE")—an effortlessly cool method for crafting AI prompts that turn "meh" into "tubular!" BAB, short for Before, After, and Bridge, guides you from dull, lifeless AI interactions to responses that shine like a pro surfer catching the perfect wave. Learn how to structure your prompts for clarity, precision, and maximum impact, ensuring your AI delivers every time. 
If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of AI and prompt engineering. And remember, you now know more about BAB prompting than you did before!Connect with Emily Laird on LinkedIn

What is CARE Prompting?

In this episode of Generative AI 101, we explore CARE Prompting—a sophisticated method that prioritizes Craft, Audience, Response, and Evaluation to fine-tune AI outputs. CARE Prompting is designed to create responses that go beyond accuracy, ensuring they resonate deeply and reflect a comprehensive understanding of your goals.If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of AI and prompt engineering. And remember, you now know more about chain-of-thought prompting than you did before!Connect with Emily Laird on LinkedIn

What is RACE Prompting?

In this episode of Generative AI 101, we’re taking a high-speed tour of the RACE Prompting method—where Role, Audience, Context, and Example aren’t just pit stops, but the keys to better communication. 
Ready to take your AI skills to the next lap? Connect with Emily Laird on LinkedIn. Stay tuned for more laps around the ever-evolving circuit of AI and prompt engineering. Connect with Emily Laird on LinkedIn

What is RTF Prompting?

In this episode of Generative AI 101, we explore the ins and outs of RTF Prompting—an approach that sharpens your AI's focus by defining its Role, Task, and Format. Whether you're tasking your AI with writing a travel blog, analyzing financial data, or extracting historical records, RTF Prompting provides the clarity and structure needed to achieve precise results. We’ll break down how to use this versatile tool, discuss its pros and cons, and share some entertaining examples that highlight its effectiveness.
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of AI and prompt engineering. And remember, you now know more about RTF Prompting than you did before!
Connect with Emily Laird on LinkedIn.