Daily Dose of Data Science | Avi Chawla | Substack·1y10 MCP, AI Agents, and RAG projects for AI Engineers
Explore 10 AI-focused projects including building an MCP-powered Agentic RAG, a multi-agent book writer, and a RAG system that understands audio content. Learn how to build and fine-tune AI models like DeepSeek-R1 and create applications using open-source tools like Llama 4 and Colpali.
Daily Dose of Data Science | Avi Chawla | Substack·1y9 RAG, LLM, and AI Agent Cheat Sheets
This post provides visual cheat sheets for AI engineers covering various topics, including Transformer vs. Mixture of Experts in LLMs, fine-tuning techniques, RAG vs Agentic RAG, strategies for chunking in RAG, levels of agentic AI systems, and more. These resources are designed to help cultivate essential skills for developing impactful AI and ML systems in the industry.
Daily Dose of Data Science | Avi Chawla | Substack·1y25 Most Important Mathematical Definitions in DS
A visual presentation of crucial mathematical definitions used in Data Science and Statistics, such as Gradient Descent, Normal Distribution, MLE, Z-score, and SVD. The post explains these terms and their significance in various applications like dimensionality reduction, optimization, and data modeling.
Daily Dose of Data Science | Avi Chawla | Substack·1y5 Powerful MCP Servers
The post details five powerful MCP servers which enhance AI agents' capabilities. These servers include Firecrawl for web scraping, Browserbase for initiating browser sessions, Opik for monitoring LLM applications, Brave MCP server for utilizing Brave Search, and Sequential thinking for problem-solving through structured thinking processes. Additionally, the post introduces Stagehand, an innovative browser automation framework for AI agents.
Daily Dose of Data Science | Avi Chawla | Substack·1yMCP-powered RAG Over Complex Docs
Learn how to use MCP to power an RAG application for processing and retrieving information from complex documents. The post details the setup of an MCP server, the creation of GroundX clients and tools, and how to implement these within the Cursor IDE. A comprehensive video walkthrough and a GitHub repository link are also provided for hands-on implementation.