This article is inspired by my following YouTube video, where I explain different types of neural networks. In the rapidly evolving field of artificial intelligence, neural networks stand out as one of the most powerful tools for solving a wide …
Have you ever sat down with a cup of coffee, mulling over many documents, and thought, “If only I could just have a conversation with these documents”? That was precisely the idea that struck me while lounging on the porch …
On this page, I am outlining a series of videos I made to clearly explain how to build a ChatBot using OpenAI’s ChatGPT API. Contents1 ChatGPT API in Python Code, Example-based Tutorial 2 Your Own ChatBot: Effortless Python Guide to Harnessing …
Large Language Models (LLM) have gained attention in artificial intelligence recently. This article explains what LLM is with several examples. Contents1 What is a Large Language Model?2 What techniques do LLMs use?3 Examples of LLMs3.1 GPT-3 (Generative Pre-trained Transformer 3)3.2 …
Tech companies are laying off brutally. If one company struggles and lays off, then it is one thing, but when many big tech companies start to lay off brutally, that is another thing. The reasoning behind these workforce reductions follows …
Today’s video completes the Python code that we started in the previous video. In this video, we discuss how the actual linear regression model is built and then used for prediction. Here is the video. The Pecan.csv file and the …
In this video, we start our Python code for prediction using linear regression. Linear regression is a simple but elegant prediction method. It works pretty well for many datasets despite its simplicity. It should be mentioned that there are some …
In the following video, we discuss prediction using linear regression-based models. I am confident that if someone watches the video till the end, the concept of prediction using linear regression will become crystal clear. Many fundamental questions might still remain …
Today’s video discusses a way to find the optimal number of clusters, especially when we do not have any benchmark data. The question here is — Given a dataset and no supervision, how can we figure out what number of …
Today, I will describe an initial way of exploring and analyzing data using Pandas in Python programming. Contents1 Exploratory Data Analysis2 Pecan Yield Dataset3 The Video4 The Notebook File5 Python version of the code Exploratory Data Analysis There is a …