Welcome to My Blog (index): Exploring AI, Machine Learning, and Data Science
Welcome to my blog page! Here you will find a collection of my writings on various topics related to AI, machine learning, and generative AI. I have organized the blogs into categories to help you navigate through the content easily. Enjoy exploring!
Before we proceed, let’s stay connected! Please consider following me on Medium, and don’t forget to connect with me on LinkedIn for a regular dose of data science and deep learning insights.” 🚀📊🤖
Applications & Projects
LLM (hands on)
Retrieval Augmented Generation
- RAG and Parent Document Retrievers: Making Sense of Complex Contexts with Code
- Implementing RAG with Mamba and the Qdrant Database: A Detailed Exploration (with Code)
- Enhancing Text-to-Image AI: Prompt Recommendation System for Stable Diffusion Using Qdrant Vector Search and RAG
- RAG Fusion Unveiled: Transforming Query Processing with Code
- Mastering RAG: A Comprehensive Guide to Document Compression Techniques and Pipelines
- From Queries to Quality Answers: Harnessing the Potentials of RAG and Rerankers
- Vector Search and BM 25 (hybrid search): Advanced Ensemble Retrieval with Code
- RAG Systems and the Power of Self Querying: A Simple Guide
- Power of Hypothetical Document Embeddings: An In-Depth Exploration of HyDE
Research Papers & Fine-Tuning
- Quiet Star: Empowering Language Models with Internal Monologue for Enhanced Reasoning
- Gemma 1.1 Unveiled: Exploring Google’s Latest AI Innovations
- No more Floating Points, The Era of 1.58-bit Large Language Models
- TinyGPT-V: Bridging the Gap in Multimodal AI with Efficiency
- Eagle 7 Billion: How the RWKV Model Surpasses Traditional Transformer-Based Models in AI
- Introducing LLaVA: The Fusion of Visual and Linguistic Intelligence in AI with code
- Vision Mamba: The Next Leap in Visual Representation Learning
- Rotary Positional Embeddings: A Detailed Look and Comprehensive Understanding
- Mixture of Experts in Large Language Models Part-1
- Phi 1.5 and the Shift Towards Smaller Models with Curated Data: A Closer Look
- Revolutionizing Neural Networks: The Rise of Retentive Networks Over Transformers
- Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks — Research paper overview
- Exploring Code Llama and Its Fine-Tuned Alternatives
- Fine-Tuning the GPT 3.5 Turbo: A Python Code Deep Dive
- Unleashing the Power of LLaMA 2: A Comprehensive Overview
Techniques & Tools
- Why FP-Tree Outperforms Apriori: A Python Code Deep Dive
- The Python Forecasting Toolkit: ARIMA and SARIMAX for Time Series Mastery
- Beyond Basic Chatbots: How Semantic Router is Changing the Game
- Building Mamba from Scratch: A Comprehensive Code Walkthrough
- Decoding Mamba: The Next Big Leap in AI Sequence Modeling
- Pytorch CheatSheet for everybody
- Focused Findings: The Role of Document Pruning in Big Data
- Structuring Your LLM Applications for Optimal Performance
- Fuzzy Semantic Search a highly effective search technique
- Trapping “Hallucinations” in AI Conversation Systems Using Context Prompts
- Enhancing Transformers with Flash Attention: Improving Performance on Long Sequences
- Pandas cheat sheet for beginners…
