

Prompt engineering, generative AI | Mihail Eric, founder of Confetti AI and Pametan Data Innovation
4 snips Nov 28, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Introduction
00:00 • 2min
The Acquisition of Confetti - Your Top Two Takeaways From the Acquisition Process
01:41 • 4min
How to Make a Sale When You Have Cold Start Problems
05:13 • 3min
A Complete Introduction to Prompt Engineering for Large Language Models
08:35 • 4min
The Role of Signifiers in Prompt Engineering
12:10 • 3min
The Problem of Repetitive Loops
15:38 • 2min
LLMs Are Really Good at Analogies, Right?
17:33 • 3min
The Two Paradigms of Machine Learning
20:27 • 3min
How Do Bias in Neural Models Impact a Prompt Engineer's Job?
23:55 • 4min
How Can I Trick an LLM?
27:37 • 3min
Automated Prompts - What's the Challenge?
31:02 • 3min
What's Your Favorite Book?
34:12 • 3min
MLOps Engineers - What Sectors Within AI Will Have the Most Number of Practitioners by 2030?
36:58 • 2min
Is TensorFlow Still a Good Framework?
39:04 • 2min
What's Your Favorite Interview Question?
40:41 • 2min
Is a Generative AI Really Going to Change?
42:45 • 2min