Welcome to AI-Learning-and-Insights! This repository is a collection of my writings and educational resources on a variety of technical and cognitive topics. Whether you're here to delve into the inner workings of programming languages, understand the intricacies of large language models, or explore science-backed strategies for rapid learning and creative growth, you'll find valuable insights here.
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Mastering Prompt Engineering: An Exploratory Guide to Navigating the World of Large Language Models (Draft - Work in progress) - July 2023
- A comprehensive guide to understanding and effectively utilizing large language models. Dive into the art and science of prompt engineering to make the most out of these powerful tools.
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Demystifying Programming Languages: A Deep Dive into Language Internals and Design (In progress)
- Explore the fascinating world of programming languages. Understand their design principles, explore their internals, and learn how different languages handle common computational tasks.
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Mastering the Mind: Science-Backed Strategies for Rapid Learning and Creative Growth (In progress)
- Unleash your full cognitive potential with this collection of science-backed strategies and techniques for rapid learning and creative growth. Discover how understanding the brain can boost your intellectual and creative endeavors.
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System Design - July 2023
- An in-depth look into system design, exploring how to effectively structure and design complex software systems.
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Concurrency in Go - August 2023
- An exploration of concurrency in the Go programming language. A language built with concurrency in mind from the ground up.
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RNN - YouTube Video Transcript - Nov 2017
- The transcript of in-depth video tutorial on Recurrent Neural Networks (RNNs). Understand the theory and application of RNNs in various domains.
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Probability - YouTube Playlist Outline - Nov 2017
- An outline of my comprehensive YouTube playlist on Probability. Learn the fundamental concepts and techniques of probability, a crucial tool in many fields, particularly in data science and machine learning.
Feel free to dive in and explore these resources at your own pace. I will update this repository as I make progress on the works-in-progress. If you have any questions or feedback, please feel free to open an issue or submit a pull request.
Happy Learning!