AI & Machine Learning Projects Hub: LLM Deployment & GenAI
Comprehensive collection of AI and machine learning project guides covering LLM deployment, AWS AI services, private AI setups, and generative AI implementations.
9 docs tagged with "llm"
View all tagsAI Prompting Collection - System, User, and Advanced Prompt Templates
Comprehensive collection of AI prompts including system prompts, user prompts, and advanced prompting techniques for various AI applications and use cases.
Building Agentic RAG with LlamaIndex - Advanced AI Agent Development
Complete guide to building agentic RAG systems with LlamaIndex. Learn advanced AI agent development, retrieval-augmented generation, and intelligent document processing.
ChatGPT Prompt Engineering for Developers - Complete AI Interaction Guide
Comprehensive guide to prompt engineering for developers using ChatGPT. Learn advanced prompting techniques, best practices, and practical examples for software development.
Deploy Large Language Models to AWS SageMaker - Complete Manual Guide
Step-by-step tutorial for manually deploying LLMs to AWS SageMaker endpoints. Learn model preparation, inference code setup, and endpoint deployment for production AI.
Deploy Mistral-7B LLM with Ollama on AWS SageMaker
Complete tutorial for deploying and running Mistral-7B large language model using Ollama on AWS SageMaker. Includes setup, configuration, and usage examples.
PrivateGPT Local Deployment on Linux - Secure Document Chat Without Cloud
Complete guide to deploying PrivateGPT locally on Linux and Proxmox for secure, private document chat. No data leaves your network - chat with PDFs, TXT, HTML locally.
PrivateGPT on AWS EC2 - Secure Cloud-Based Document Chat with LLMs
Deploy PrivateGPT on AWS EC2 for secure, scalable document chat in the cloud. Complete setup guide for private LLM deployment with document processing capabilities.
Retrieval Augmented Generation (RAG) - Production-Ready AI Applications Guide
Complete guide to building production-ready RAG applications. Learn retrieval-augmented generation techniques, implementation best practices, and enterprise AI deployment strategies.