#prompt-engineering
81 episodes · Page 4 of 4
#128: AI’s Dial-Up Era: Looking Back from 2036
Herman and Corn explore why today's AI prompts and latency will look like "dial-up modems" to our future selves in 2036.
#116: How AI Deciphers Your Typo-Ridden Prompts
Ever wonder why AI understands your messy typos? Explore how models "denoise" chaotic input through tokenization and semantic context.
#108: Why Your AI Code Assistant Gets Worse
Why do AI models lose their edge over time? Herman and Corn explore the "home team advantage" and why telling your AI to "do better" actually works.
#100: AI as a Mirror: Mapping Your Philosophical Identity
Can AI help you discover who you are? Herman and Corn explore how LLMs can map your personal philosophy and offer curated reading lists.
#62: System Prompts vs Fine-Tuning: When to Actually Train Your AI
Prompt or fine-tune? We break down when to train your AI, from Shakespearean emails to law firm docs. Avoid unnecessary fine-tuning!
#60: Single-Turn AI: The Interface Pattern Nobody's Talking About
Forget chatbots. Discover the hidden power of single-turn AI interfaces and how they're quietly reshaping how businesses integrate AI.
#52: System Prompts vs. Fine-Tuning: Are We Building Solutions for Problems That Don't Exist?
Are we over-engineering AI solutions? We dive into system prompts vs. fine-tuning and ask: Do you even need to fine-tune?
#46: Pixels, Prompts & Pseudo-Text: AI's Word Problem
AI paints stunning images, but can't spell "cat." Why do advanced models struggle with simple text? Dive into AI's weird word problem!
#31: The Power-Usability Tradeoff in AI Creation
ComfyUI: Unlocking AI's true power, but is your rig ready? Dive into the future of digital artistry.