Gen AI Introductory Posts Series
Dr. Nisha Arora
I see many learners are overwhelmed by Gen AI related stuff. With my posts, I am explaining things in simple words one by one to educate a larger audience about the trending things.
Read my first post 📋📝, if that interest you👇
1. Generative AI: Introduction
A few years back, people were confused between ML, DL, and AI.
🤔 Now we have a new round of confusion and it goes like this: "Is ChatGPT the same as AI? Is LLM another word for Gen AI? Who even is Anthropic? What's Claude? Copilot that I see in Excel _ is it the one that's used by vibe coders?"
These terms are genuinely confusing because tech people (and the media) often use them loosely. 😇
Let's fix that 😎
AI (Artificial Intelligence) is the broad idea. Machines doing things that normally need human thinking. Planning a route, recognizing a face, filtering spam. That's AI.
Under AI, you have ML (Machine Learning), where machines learn from data instead of following hard-coded rules.
And under ML, you have DL (Deep Learning), which uses layered neural networks and handles things like image recognition or speech.
In short: DL sits inside ML, ML sits inside AI. Interested to know more about ML, my talk on Machine Learning Demystified can make it simple for you.
Now, Let's talk about generative AI... The trending thing!
Generative AI (Gen AI) is different. It generates new content such as text, images, audio, code, video. It doesn't just answer yes/no. It writes a paragraph, draws a picture, composes music.
Until a few years ago, this was not possible. That's the key shift. From AI that analyzes → to AI that creates.
More on how it works & Other related stuff, in next post!
Dr. Nisha Arora
Trainer | Author | Reviewer | Speaker ( Analytics, Data Science & AI )
📧 dr.aro...@gmail.com | 📍 Pune, India | 📞 +91-9654582757
Dr. Nisha Arora
Here's next post in that series 👇
🤔 AI, Gen AI, LLM, ChatGPT, Anthropic... are these all the same thing?
These terms are genuinely confusing because tech people (and the media) often use them loosely.
💬 ChatGPT, Claude, Gemini, Perplexity, NotebookLM, etc. are various products based on gen AI.
These interfaces you actually open and talk to.
There are many such interfaces and tools available for different tasks such as MidJourney or DALL·E for generating images, SlidesAI or Beautiful.ai for AI generated presentations, something else for AI generated videos etc.
Which of these have you used?
🤔 Now, let’s admit, there’s another layer of confusion due to ambiguity/similarity in names of products. At least I had this confusion, when I first heard about launch of various such products:
🙆♀️ Microsoft Copilot Vs GitHub Copilot
🙆♀️ Claude AI vs Claude Code
🙆♀️ NotebookLM _ Is it another Python notebook environment like Jupyter/Colab? Or is it LLM model name?
Wait! What’s LLM model?
We will discuss it very soon, stay tuned!🤝
These are genuine confusions which bothered me until I read about them and got clarity.
Then, LLM model’s name, parent company names, …yup, it’s too much confusion, if you have not read about those yet.
Write the question that bothers you about these terms & we will discuss!
Dr. Nisha Arora
Trainer | Author | Reviewer | Speaker ( Analytics, Data Science & AI )
📧 dr.aro...@gmail.com | 📍 Pune, India | 📞 +91-9654582757
Dr. Nisha Arora
Here's next post in that series 👇
💬 Let’s understand Gen AI Products!
As discussed in the previous post,
ChatGPT, Claude, Gemini are Gen AI products, you might have used some of those.
ChatGPT is made by a company called OpenAI. It's built on their LLM model (More on this later!). It's what most people encountered first, which is why "ChatGPT" became a default word for all AI chat tools like how people say "Google it" even when they're using Bing.
Claude is made
by Anthropic. Also, an LLM-based chat tool, known for handling long
documents well and being cautious in responses.
Gemini is Google's
version. Perplexity AI is developed by Perplexity, a startup.
So: ChatGPT ≠ all AI. It's one product, from one company, built on one model. There are several others.
🏢 OpenAI, Anthropic,
Google are the Companies/organizations building and running these models.
So now you understand some common
gen AI products and their parent companies.
Next, let’s talk about Microsoft Copilot and GitHub Copilot:
Microsoft Copilot is a productivity assistant built into apps like Word,
Excel, Outlook, and Windows, helping with writing, analysis, and everyday
tasks. While, GitHub Copilot is a coding assistant inside IDEs like VS
Code, focused on autocompleting, generating, and reviewing code to speed up
software development.
Before we discuss NotebookLM or Claude, we need to introduce the term LLM, keeping in mind that many of you might not have heard about deep learning at all.
Stay tuned!
Warm regards,
Dr. Nisha Arora
Dr. Nisha Arora
🧠 Let’s talk about LLM, the Engine Behind Most Gen AI You've Seen
*LLM stands for Large Language Model*. It's a very large mathematical system, specifically one trained on massive amounts of text to understand and generate language.
"Large" here means genuinely massive. Trained on billions of documents, internet, books, articles, websites, code.
As a result, LLM model that can answer questions, summarize reports, write emails, translate languages, explain complex topics, and even write code.
Your HR team using AI to draft job descriptions? Likely an LLM underneath. A finance professional summarizing a 50-page report in 2 minutes? LLM. A faculty member getting instant feedback on a lesson plan? LLM.
*Not all Gen AI is an LLM though*. Image generators like DALL·E or Midjourney are Gen AI, but they're not language models, they work with images, not text.
There are different types of LLM Models available. Are you familiar with some?