This article provides an overview of the core concepts of Large Language Models (LLMs) in LangChain, including LLM components, prompt templates, indexing, memory, chains, and agents.

This article provides an overview of Large Language Models (LLMs), LLMs evolution and the core concepts of LangChain - an open source framework for building applications based on LLMs.

In this article, we delve into Vector Databases by using Pinecone and explore the fundamentals of vector embeddings, indexes, and essential components of these databases. Furthermore, it will provide a guide on setting up a Vector Database on Pinecone, walking through the installation process, obtaining API keys, and initializing client connections.

A data visualization, while creatively pleasing, should also serve a functional purpose in effectively communicating data - which refer as combining both art and science. In this context, we can refer to data visualization as a modern art form. Instead of providing step-by-step instructions for enhancing your dashboard, this article will introduce seven design principles as a solid foundation for this “modern art” field.

We delve into the intricacies of Gaussian Naive Bayes classification. The focus is on determining the probability of a data point belonging to a specific class among several, emphasizing probabilistic assessment over precise labeling. The article breaks down key concepts, from Bayesian decision theory to Bayes' theorem, and provides a step-by-step implementation using the Iris dataset.