How to move from Redis to Valkey
The Redis move to a new license means it will no longer be considered open source software. This article will explain how to move from Redis to the alternative, Valkey. Background
Self-Attention Explained with Code
The paper “Attention is All You Need” debuted perhaps the single largest advancement in Natural Language Processing (NLP) in the last 10 years: the Transformer [1]. This archit
Explore the new Multimodal RAG template from LangChain and Redis
Large language models (LLMs) are trained on massive sets of public data and excel at generating human-like text based on that information. However, they don’t have access to priv
Bootstrap vs. Tailwind CSS
Welcome to another insightful article where we dive into the world of CSS frameworks, specifically comparing two of the most popular ones: Bootstrap and Tailwind CSS. Whether you'r
9 Caching Strategies for System Design Interviews
In System design, efficiency and speed are paramount and in order to enhance performance and reduce response times, caching plays an important role. If you don't know what is cachi
ChatGPT – Prompts for developers
ChatGPT is an artificial intelligence (AI) chatbot that uses natural language processing to create humanlike conversational dialogue. The language model can respond to questions an
A Complete Guide to BERT with Code
Bidirectional Encoder Representations from Transformers (BERT) is a Large Language Model (LLM) developed by Google AI Language which has made significant advancements in the field
Word Embeddings with word2vec from Scratch in Python
Converting words into vectors with Python! Explaining Google’s word2vec models by building them from scratch. Part 2 in the "LLMs from Scratch" series - a complete guid
Tokenization – A Complete Guide
Large Language Models (LLMs) have become incredibly popular following the release of OpenAI’s ChatGPT in November 2022. Since then the use of these language models has exploded,
A Brief History of Large Language Models
Large Language Models (LLMs) have dominated discussions in machine learning for the past few years, and have transformed the landscape of AI for years to come. This article serves