I wrote a book! Check out A Quick Guide to Coding with AI.
Become a super programmer!
Learn how to use Generative AI coding tools as a force multiplier for your career.
Mastering AI Parameter Adjustments: Fine-Tuning Your Model for Optimal Results
Learn how to fine-tune temperature, diversity penalties, and other key settings to optimize outputs for creative tasks, technical writing, and code generation.
Problem Decomposition in AI Prompting: A Step-by-Step Guide to Solving Complex Challenges
Learn how to break down complex tasks into manageable parts to improve accuracy, scalability, and efficiency. Dive into real-world examples, best practices, and step-by-step strategies.
Progressive Prompting for AI
Today, we’re diving into something pretty cool: Progressive Prompting. This technique is like teaching AI to learn things step-by-step, much like how we, as humans, learn complicated stuff over time. It’s an essential tool if you want to
Mastering Recursive Error Correction: A Guide to Self-Improving AI Outputs
Discover how Recursive Error Correction (REC) improves AI accuracy through iterative learning and correction. Learn how to implement REC with examples and best practices.
Unlocking Zero-Shot Prompting: Master AI Without Examples
Discover the power of zero-shot prompting in AI. Learn how to give precise instructions, generate tasks without examples, and leverage advanced techniques to optimize AI performance.
Multiple Response Generation With LLMs
Today, we’re going to dive into a cool AI technique called Multiple Response Generation (MRG). Ever asked an AI a question and thought, Hmm, that’s good, but I wonder what else it could come up with
Pattern Recognition in AI Prompting
Ever wondered how AI seems to magically understand patterns in prompts and outputs? Today, we’re diving into pattern recognition in AI prompting, specifically how to guide AI models into producing structured, predictable results.
Creative Prompting Techniques
How to use creative prompting to get what exactly what you want out of ChatGPT and other large language models
Master AI Problem-Solving With Least-to-Most Prompting: A Step-by-Step Guide
Learn how to tackle complex AI problems with Least-to-Most Prompting (LtMP), a powerful strategy that breaks down tasks into manageable steps for improved accuracy and error prevention. Perfect for multi-step coding, math, and research challenges!
Lets Think Step by Step
When we ask an AI a complex question without a structured approach, it can easily get confused or miss important details. Think of it like solving a puzzle without following any order—you might end up with a mess. The LTSS prompting method helps avoid this by
What Recursive Prompting Is, and Why You Need to Know It
Today, we’re diving into something really cool—recursive prompting in AI. It’s one of those techniques that can seriously level up your prompt engineering game. If you’ve ever wished
Mastering AI Role Prompting: Tailoring AI Responses to Fit Any Context
Learn how to use role prompting in AI to generate tailored, contextually accurate responses. This guide covers the basics, from role selection to real-world examples in tech, medicine, and more.
Master Meta Prompting and Symbolic Reasoning: Advanced AI Techniques for Complex Problem Solving
leverage the power of meta prompting and symbolic reasoning in AI to solve complex, abstract problems. Learn how these advanced techniques boost AI precision, cross-domain thinking, and problem-solving efficiency across fields like math, philosophy, and writing
Unlock the Power of Few-Shot Prompting: Boost AI Efficiency With Minimal Effort
Master Few-Shot Prompting: A Step-by-Step Guide to Efficient AI Task Execution
Mastering Format Specification in Prompt Engineering: A Guide to Structured AI Responses
If you’re diving into prompt engineering, one thing will become clear right away: the way you structure your prompts can dramatically impact the quality of AI-generated responses. As developers, we’ve all had moments where clarity in our code or documentation can make or break a project.
Master Real-Time AI Optimization With Inference-Time Fine-Tuning
Learn how to refine AI model responses on-the-fly through inference-time fine-tuning, allowing you to elevate performance without retraining. Discover techniques for iterative response improvement, contextual adaptation, and precision tuning based on user feedback.
Chain of Thought Prompting
everything you wanted to know about chain of thought prompting