GenerativeAIExamples and Generative-AI-Practices-and-Mini-Projects
About GenerativeAIExamples
NVIDIA/GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
These examples and workflows help developers build robust generative AI systems by integrating NVIDIA's software ecosystem. They provide starting points for tasks like building RAG pipelines, creating agentic workflows, and fine-tuning models. Developers can use these resources to speed up their generative AI projects, leveraging NVIDIA's optimized infrastructure.
About Generative-AI-Practices-and-Mini-Projects
shaheennabi/Generative-AI-Practices-and-Mini-Projects
Generative AI Practices and Mini-Projects: A hands-on repository for Generative AI mini-projects! Explore model building, fine-tuning, and RAG techniques. Includes experiments with open-source models like LLaMA and Gemma, plus deployments using OpenAI and Google Gemini APIs.
This repository provides hands-on code examples and mini-projects for building and experimenting with Generative AI applications. It offers practical ways to explore techniques like fine-tuning large language models, creating intelligent retrieval-augmented generation (RAG) systems, and developing AI agents. This is for individuals who want to learn how to build, adapt, and deploy GenAI solutions, from foundational concepts to advanced implementations.
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