Why RAG Chatbots Struggle in Production
“Our RAG chatbot worked perfectly in the POC.But once we scaled to 50,000 documents… accuracy dropped to 60%.” If you’ve worked with enterprise RAG systems, you’ve probably heard this story.…
Measuring ROI for a GenAI Initiative in Healthcare
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…
Logical Computations with Neurons | Deep learning
Warren McCulloch and Walter Pitts proposed a very simple model of the biological neuron, which later became known as an artificial neuron: it has one or more binary (on/off) inputs…
SQL Advanced | Wildcards
SQL Wildcard Examples We have the following “Persons” table: Using the % Wildcard Now we want to select the persons living in a city that starts with “sa” from the…
What is Stochastic Gradient Descent?
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…
How to Extract Code from a Screenshot with 100% Accuracy?
Did you like an image containing code & take its screenshot? Now you want to copy the code from that screenshot, right? Panic not, because I’ve got you covered. In…
SQL | The IN Operator
The IN operator allows you to specify multiple values in a WHERE clause. SQL IN Syntax: IN Operator Example The “Persons” table: Now we want to select the persons with…
Selecting the Number of Clusters
With K-Means, you could use the inertia or the silhouette score to select the appropriate number of clusters, but with Gaussian mixtures, it is not possible to use these metrics…
Tokenization in NLP
Word Level Tokenzation Splitting text into individual words “the quick brown fox” -> BUT Character Level Tokenization Splitting text into individual characters “the quick brown fox” -> But N-GRAM MODELS…
What is Exploratory Data Analysis (EDA)?
Exploratory Data Analysis (EDA) is an essential step in any data science project. It involves investigating and analyzing datasets to understand their characteristics, identify patterns, detect outliers, and uncover relationships…
SQL | Alias Operator
SQL Alias Syntax for Columns: Also read Alias Example Assume we have a table called “Persons” and another table called “Product_Orders”. We will give the table aliases of “p” and…
SQL | The LIKE Operator
SELECT column_name(s) FROM table_name WHERE column_name LIKE pattern LIKE Operator Example The “Persons” table: Now we want to select the persons living in a city that starts with “s” from…
Using clustering for image segmentation
Image segmentation is the task of partitioning an image into multiple segments. In semantic segmentation, all pixels that are part of the same object type get assigned to the same…
Accelerated K-Means and Mini-batch K-Means
Introduction Another important improvement to the K-Means algorithm was proposed in a 2003 paper by Charles Elkan. It considerably accelerates the algorithm by avoiding many unnecessary distance calculations: this is…
What is Clustering? A Simple Approach
As you enjoy a hike in the mountains, you stumble upon a plant you have never seen before. You look around and you notice a few more. They are not…
Web Development Project Guide for Freshers
Web Development Project Guide for Freshers Starting your journey as a web developer can be both exciting and challenging. To make the process smoother, here’s a detailed guide to beginner-friendly…
Letter Combinations of a phone number
Given a string containing digits from 2-9 inclusive, return all possible letter combinations that the number could represent. Return the answer in any order. A mapping of digits to letters…
3 Sum Closest | LeetCode
Given an integer array nums of length n and an integer target, find three integers in nums such that the sum is closest to target. Return the sum of the…
RAG using Llama 2, Langchain and ChromaDB
Introduction Objective Use Llama 2.0, Langchain and ChromaDB to create a Retrieval Augmented Generation (RAG) system. This will allow us to ask questions about our documents (that were not included…
Finding the Top K Most Frequent Elements in an Array
Finding the top ( k ) most frequent elements in an array is a common question in coding interviews and a useful task in various applications like data analysis and…