Resources
Free guides, templates, and tools to help you build better AI solutions
Browse my collection of resources designed to help you implement, optimize, and scale AI applications.
Insurance RAG Implementation Checklist
A comprehensive checklist for building domain-specific RAG systems for insurance and financial services applications.
RAG System Architecture Blueprint
Technical architecture diagram and component breakdown for building production-grade Retrieval Augmented Generation systems.
RAG System Implementation Guide
A comprehensive guide to implementing Retrieval Augmented Generation systems, including code examples and best practices.
LLM Prompt Engineering Templates
A collection of proven prompt templates for different use cases, including conversation intelligence, content generation, and data analysis.
Fine-tuning Starter Kit
A code repository with scripts and utilities for fine-tuning language models on custom datasets.
AI System Architecture Checklist
A comprehensive checklist for designing and evaluating AI system architectures to ensure scalability, reliability, and maintainability.
Building Conversation Intelligence Systems Webinar
A recorded webinar covering the fundamentals of building effective conversation intelligence systems.
AWS Deployment Guide for AI Applications
A step-by-step guide to deploying AI applications on AWS infrastructure, covering Lambda, EC2, S3, and other essential services.
Semantic Search Benchmark Tool
A Python utility for benchmarking different embedding models and retrieval approaches for semantic search applications.
AI Integration Case Studies Collection
A collection of case studies from different industries showing how AI has been integrated into existing products and workflows.
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Open Source Contributions
Check out my GitHub for code examples, utility libraries, and open-source projects related to AI, LLMs, and full-stack development.
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