Project September 09, 2024 Multiple datasources - Route selections I hope you enjoy every step so far. Until this point of our Langchain/RAG journey, we have managed to build a simple local application and a querry transformation assistant. But what happens when
Project July 29, 2024 RAG - Query Transformation Welcome back, I hope you enjoyed the first part of this series where we are going to explore a portion portion of RAG tool. It is higly suggested that you take a look
Project July 22, 2024 Introduction to RAG models Firstly, in case you don't know what is RAG here is an unofficial explanation. Imagine you’re on a treasure hunt, but instead of a dusty old map, you’ve got a genius guide who
Project Deep learning Pytorch vision December 26, 2023 Jingle or No Jingle. A Hilariously Serious Dive into PyTorch Image Classification for Santa Claus Detection. 🎄 Season's Greetings, data scientists and tech enthusiasts! In the spirit of ho-ho-hilarity and cutting-edge Christmas cheer, I present to you a Christmas-themed trip into the world of PyTorch image classification. Armed with the
Project Machine learning Nlp Bayesian statistics October 17, 2023 Uncovering Topics in BBC News with Latent Dirichlet Allocation in R Welcome everyone! Keeping in mind the post about Latent Dirichlet Allocation (in case you have not read it yet and you are interested, you can read it here), I am going explore the
Project Machine learning Nlp Bayesian statistics October 05, 2023 Topic Modelling - Latent Dirichlet Allocation Hello everyone! In this post I am going to go through an NLP subject. As you may have already read in this post's title, Topic Modelling is what I aim to explain to
Project Deep learning March 04, 2023 Neural Network ~ Predicting a Numerical Value Welcome back! As part of this introductory series on Neural Networks, we will be exploring the process of building NNs and making decisions about their topology. This includes determining the number of layers,
