The first thing that you have to keep in mind is that LLM stands for Large Language Models,they are immense models comprising billions of parameters, and their huge size, coupled with the vast amount of data used for training lends them their almost magic capabilities.

In the previous post, you learned how to implement a simple linear regression from scratch using only NumPy. In today’s post, I will show how to implement a multiple linear regression from scratch also using only NumPy. Multiple Linear Regression In the simple linear regression, we want to predict the dependent variable ‘y’…

In this post, I will do a summary of the book “Yiddishe Kop: Creative Problem-Solving in Jewish Learning, Lore and Humor” from Rabbi Nilton Bonder, writing about the most important chapters of the book. In his book, Bonder shows the mindset of a people that in history has gone through…

Este artigo apresentará uma resenha sobre o livro “O segredo judaico de resolução de problemas: Iídiche kop” do rabino Nilton Bonder. Descrevendo os principais ensinamentos do livro. Em seu livro, Bonder mostra o mindset de um povo que na história já passou por várias tribulações, mas em todas elas, conseguiram…

Today is really easy for us to train and use machine learning model. A lot of libraries in many programming languages implement machine learning models for us and we have to just call a function and voila we are using complex machine learning models. But do we know how those…

Have you ever read a book and found that this book was similar to another book that you had read before? I have already. Practically all self-help books that I read are similar to Napolean Hill’s books. So I wondered if Natural Language Processing (NLP) could mimic this human ability…

Frequency and Sentiment Analysis. In part 1, I used transformers trained in the task of Questions and Answering to answer the question: “ Can a machine learning model answer questions about Finance and Economy?”. …

Warren Buffet is an American investor, philanthropist, and the actual number 6 on the Forbes billionaires list. He has an overall gain of 2,810,526% from 1965 to 2020 while the S&P500 (index of the 500 largest U.S. publicly traded companies) rose 23,454%. …

Since the R-CNN Object Detection (OD) was released in 2014 until now, deep learning approaches to object detection problems are becoming more and more popular. OD is now used in almost every field from agriculture to autonomous driving. But one of the main disadvantages of the OD techniques is the…