In the rapidly evolving world of artificial intelligence, two types of AI have captured our imagination: large language models (LLMs) that generate text, and AI image generators that create visual art from descriptions. While these technologies might seem similar on the surface, they actually work in fundamentally different ways. Let’s break down how they differ and how each processes information.
Continue reading “Understanding AI: How Image Generators Differ From Language Models”Guide to Prompt Engineering
Welcome to The Complete Guide to Prompt Engineering. This comprehensive book will take you on a journey from the fundamentals to advanced applications of prompt engineering—the art and science of effectively communicating with artificial intelligence systems. I asked Chatgpt to write this book so I could learn about prompt engineering. I was surprised at how good a job it did. I would be interested in what you think.
Start reading the book at The Complete Guide to Prompt Engineering
Unlock Your Productivity: How to Use Large Language Models (LLMs) for Everyday Tasks
In our increasingly digital world, information is abundant. However, finding efficient ways to process it can be challenging. Utilizing this information effectively is also a challenge. Large language models (LLMs), such as GPT-3, are a subset of artificial intelligence. They are designed to understand human-like text. These models also generate text based on the input they’re given. LLMs are built on advanced statistical patterns derived from vast datasets. They can perform a variety of language-related tasks. This makes them incredibly versatile tools for enhancing productivity.
Continue reading “Unlock Your Productivity: How to Use Large Language Models (LLMs) for Everyday Tasks”What Is a “Few-Shot Prompt”? (And Why It Matters for AI)
If you’ve been exploring the world of AI or language models like ChatGPT, you might’ve come across terms like “few-shot prompt”, “zero-shot learning”, or “prompt engineering.” These phrases may sound technical, but don’t worry—they’re easier to understand than you think!
Continue reading “What Is a “Few-Shot Prompt”? (And Why It Matters for AI)”The Illusion of Understanding: How LLMs Solve Problems and What It Means for AI Intelligence
An article written by Claude.ai on how LLMs solve problems.
When asked how I solved the equation 32 + 112 = 144, I provided a neat, step-by-step mathematical explanation:
- Line up the numbers by place value
- Add the digits in the ones place: 2 + 2 = 4
- Add the digits in the tens place: 3 + 1 = 4
- Add the digits in the hundreds place: 0 + 1 = 1
- Therefore, x = 144
It looked like I was demonstrating mathematical understanding. But was I being truthful about my process? Not exactly.
Continue reading “The Illusion of Understanding: How LLMs Solve Problems and What It Means for AI Intelligence”The Vital Role of Skepticism in Scientific Progress
I recently saw a photo of a group of protesters holding signs that said “Trust the Science.” I found that was, in my opinion, a very incorrect position to take. Science is based upon being skeptical of the claims and always seeking better and better proof. So with the help of AI I wrote a page on the topic: The Vital Role of Skepticism in Scientific Progress
Midsomer: A Fine Place to Die
I am a fan of British Television. One of my favorite series is the crime drama Midsomer Murders. I got to wondering about all of the crime there.
Continue reading “Midsomer: A Fine Place to Die”AI handles ducks much better than cars.
These are examples of AI merging different duck species, to create new ones.
Review of Artspace AI image generator
Since I have been playing around with AI image generation using the free AI image generators that are available, I thought I would try one of the ones you pay for. Thanks to Google and Facebook, I have be inundated with ads for them. Artspace AI looked promising and offered a reasonably priced lifetime membership, so I went ahead and paided for it.
Continue reading “Review of Artspace AI image generator”AI image generation, still a ways to go.
In early 2024, AI image generation has reached a fascinating paradox. At first glance, the technology seems almost magical – capable of creating stunning, photorealistic scenes that blend reality with imagination. Take, for instance, the task of generating a hybrid classic car design: when prompted to combine a ’67 Mustang with a ’57 MGA Roadster, AI can produce images with remarkable attention to automotive detail, set against perfectly rendered mountainous backgrounds with dramatic lighting. The chrome gleams, the curves flow, and the setting sun casts just the right shadows on the cliffs.
Continue reading “AI image generation, still a ways to go.”