Retrieval-Augmented Generation (RAG) with Llama 2 using Google Colab Free-Tier
Building a Q&A app capable of answering questions related to your enterprise documents using LLama2 7B Chat and Chroma Vector Database.
Recent Posts
Optimizing Language Model Training: PEFT, LoRa, and QLoRa Techniques
techniques in fine-tuning large language models (LLMs) with significantly reduced RAM requirements
LLM Based Enterprise Search Solution using RAG In AWS
Building Large Language Models for Complex Enterprise Search Tasks using Retrieval Augmented Generation (RAG) - In AWS
Constructing a Neural Network to Classify Handwritten Digits
Build a Neural Network from scratch to recognize handwritten digits and later implement a Deep Neural Network using Pytorch
Understanding the Basics: Gradient Descent
Gradient Descent is an optimization algorithm that iteratively adjusts model parameters in the direction of steepest descent of the loss function to find the...
MiniProject: Emotion Classifier - Part3
Part3 of Building a Human Emotion Classifier - Front End GUI and Deployment
MiniProject: Emotion Classifier - Part2
Part2 of Building a Human Emotion Classifier using CNN by applying transfer Learning on Resnet18 implemented with FastAI
MiniProject: Emotion Classifier - Part1
Part1 of Building a Human Emotion Classifier using CNN by applying transfer Learning on Resnet18 implemented with FastAI
Machine Learning Foundations Through Q&A
we will try to understand the foundations of Machine learning & Deep learning in the form of Q&A.
Basics of Decision Trees
Decision Trees are the gateway to machine learning. They are easy to understand and relate to. However, do we know how they really work?
Visual Data Analysis in Python: Part 1
In this blog post, we explore visual data analytics, leveraging data visualization to uncover insights and patterns in our datasets. In this part 1 post, we ...
Machine Learning Fundamentals: Linear Algebra: Part 2-Matrices
In this blog post, we will try to understand matrices, their representation, properties and the various operations we can perform on them.
Machine Learning Fundamentals: Linear Algebra: Part 1-Vectors
In this blog post, we will try to understand vectors from their base representation, their properties and the various operations we can perform on vectors.
Pandas: Data Analysis Essentials
This article outlines the essential Pandas methods for preliminary data analysis.
Markdown Cheatsheet: Quick Reference for Commonly Used Syntax
This cheatsheet provides a concise reference for frequently used Markdown formatting, helping you create beautiful, well-structured content with ease.
Git Commands Simplified: A Beginner’s Guide
In this beginner’s guide, I break down the essential Git commands into easy-to-understand explanations and practical examples. From initializing a repository...
Building my Personal Site with Jekyll & Minimal Mistakes
A guide detailing my process for building this website using the static site generator Jekyll and the theme Minimal Mistakes