Geeky Codes | AI Engineering, Data Engineering & Machine Learning Tutorials
This blog explores how to measure ROI for Generative AI (GenAI) in healthcare. It outlines key performance indicators (KPIs) related to clinical outcomes, operational efficiency, finance, and patient experience. It emphasizes the importance of clear objectives, baseline measurements, and best practices to successfully assess GenAI’s impact on healthcare organizations.
Stochastic Gradient Descent (SGD) is an optimization algorithm commonly used in machine learning for training models, particularly in large-scale and online learning settings. It is an iterative optimization algorithm that aims to minimize a cost or loss function by adjusting the model parameters. Here’s an overview of how SGD works: Basic Concept: Advantages and Considerations: … Read more
Word Level Tokenzation Splitting text into individual words “the quick brown fox” -> [“the”,”quick”,”brown”,”fox”] BUT Character Level Tokenization Splitting text into individual characters “the quick brown fox” -> [“t”,”h”,”e”,” “,”q”,”u”,”i”,”c”,”k”, …] But N-GRAM MODELS Splitting text into groups of consecutive words. N is the no. of words in a token. For a trigram model, “the … Read more
Introduction Learn how Retrieval-Augmented Generation (RAG) works by building an end-to-end RAG pipeline with Llama 2, LangChain, Hugging Face embeddings, and ChromaDB — and understand how this early architecture compares with modern production RAG systems. Originally published: August 2, 2024Updated: September 2026 Introduction Large Language Models (LLMs) can answer questions, summarize text, generate code, and … Read more