ChatGPT and generative AI: An evergreen guide
A friendly, frequently-updated index of all my AI articles
Wow, there sure is a lot of AI news nowadays. If you’ve been drinking from the firehose like me, you may be frustrated by the lack of definitions, clarity, and simple explanations of all of this new technology. I sure am. It took me months to figure out what a parameter was, and I’m a software engineer! (A parameter, or weight, is just a number that is tweaked by a machine learning algorithm to affect its model.)
Since March, I’ve been publishing articles about AI, but each post builds on the last, and I don’t want to contribute to the confusion. This post will serve as a friendly digital index. It’ll have keywords for easy searching on a single page, and I’ll keep it updated as I learn and write more.
If you’re ever confused, I’m here to help! Reach out in the comments, on LinkedIn, or however you feel comfortable. AI scared me a ton for months, and I thought I missed the boat when ChatGPT was 2 months old and I had never used it. But it wasn’t too late — and it still isn’t! Whenever you’re reading this, whatever you know, know this: Learning is forever, and the best time to start is today. Let’s dive in.
This article mentions Microsoft, my employer. I wrote this article in my free time and all opinions are my own.
About me
A personal autobiography that provides great context about my childhood experience with technology.
Keywords: profile, background.
Let’s learn about artificial intelligence
My main article series, written for anyone regardless of their tech experience. If you can open your email on a phone, you can understand these articles!
Here’s the intro, in which I define AI, explain machine learning, write about OpenAI and their partnership with Microsoft, chatbot tools like Microsoft Bing and Google Bard, and announcements for Microsoft 365 Copilot, Khanmigo by Khan Academy, and more.
Keywords: GPT-3.5, GPT-4, GPT-n, model, algorithm, AI effect, chatbot tools, training, natural language.
In the second entry, I break down the technical terms behind the buzzwords, show how products like Bing and Bard are made, and explain how they’re different than ChatGPT.
Keywords: Intelligence, smart, model, algorithm, kitchen analogy, data, predictions, reinforcement learning from human feedback (RLHF), large language model (LLM), product, grounding, hallucination, neural network, transformer.
The third entry introduces prompt engineering, which is the foundation of grounding and the simplest way to make these products more useful.
The fourth entry clarifies the difference between the large language model and the rest of ChatGPT, an important distinction as other companies build related technology.
AI Updates
Briefs about the most relevant news for AI users like you and me.
The first AI Update covers product announcements from Big Tech.
Keywords: Bard, Bing, LLaMA, Dynamics 365 Copilot, GPT-4, PaLM API & MakerSuite, Google Workspace, Microsoft 365 Copilot, Semantic Kernel, GitHub Copilot X, AWS Generative AI Accelerator.
In the second installment, I write about more open-source advancements and different ways new AI is being used.
Keywords: AI agents, WolframAlpha, BabyAGI, AgentGPT, Khanmigo, HuggingGPT, Microsoft JARVIS, Hugging Face, HustleGPT, GPT4All, Stanford Alpaca, ChatLLaMA, Vicuna, Koala, anthropomorphism.
Tangents on emotion, anxiety, and real life
These are more dramatic, non-informative posts where I share my feelings as I learn about tech. I’ve felt lost, frustrated, confused, triumphant, scared, excited, nervous, and more. I hope we all remember that we’re all human, and sharing these articles is my personal reminder.
Check back often as I continue to update this index with more articles!
And, as always, thank you for reading. What would you like to learn next? How can I help? Let me know in the comments! 🤓
