📙 AI-GenAI Index
📚 12 Posts
🕒 Last Updated: Tue May 19 2026
This folder contains AI-GenAI-related posts.
| # | Blog Link | Date | Excerpt | Tags |
|---|---|---|---|---|
| 1 | AI-GenAI Index | Tue May 19 2026 | 📙 Index of AI-GenAI posts | |
| 2 | NVIDIA AI-LLM Developers Certification Path | Tue Feb 24 2026 | Step-by-step overview of NVIDIA certifications for AI and LLM developers, including exam details, learning resources, and preparation guidance, along with core AI infrastructure fundamentals. | NVIDIA AI Certification LLM Generative AI GPU Computing CUDA AI Training AI Inference MLOps |
| 3 | Understanding Generative AI | Sat Mar 07 2026 | A clear introduction to generative AI, explaining how modern AI models create text, images, and other content, and how technologies like transformers, large language models, and deep learning power today's generative systems. | Generative AI Artificial Intelligence Large Language Models Transformers Deep Learning Machine Learning AI Models AI Fundamentals |
| 4 | What is AI Models and How to pick the right one? | Tue Feb 24 2026 | Step-by-step overview of AI model development, including generative AI, large language models, training and inference workflows, GPU computing, and practical learning resources. | NVIDIA AI Models LLM Generative AI GPU Computing CUDA AI Training AI Inference MLOps |
| 5 | How to Choose the Right AI Model for Your Use Case | Tue Feb 24 2026 | A practical guide to selecting the right AI and LLM models based on use case, latency, cost, accuracy, infrastructure, and deployment requirements. | AI LLM Generative AI NVIDIA AI Infrastructure AI Inference AI Training CUDA GPU Computing MLOps Machine Learning |
| 6 | What are Transformer Models? | Tue Feb 24 2026 | Comprehensive overview of transformer models, including their architecture, key components, and their role in powering large language models and generative AI applications. | NVIDIA AI Models LLM Generative AI GPU Computing CUDA AI Training AI Inference MLOps |
| 7 | Retrieval-Augmented Generation (RAG) for AI Applications | Tue Feb 24 2026 | Comprehensive guide to Retrieval-Augmented Generation, covering architecture, embeddings, vector databases, document indexing, retrieval strategies, and best practices for building production-ready RAG systems. | RAG Retrieval-Augmented Generation LLM Embeddings Vector Database Semantic Search AI Architecture AI Applications MLOps |
| 8 | LLMs & Foundation Models Explained | Wed May 13 2026 | A practical guide to Large Language Models (LLMs) and foundation models, covering architectures, training concepts, fine-tuning, inference, embeddings, RAG, and real-world AI application development. | LLM Foundation Models Generative AI Artificial Intelligence Transformers Machine Learning AI Engineering RAG Fine Tuning Prompt Engineering AI Infrastructure MLOps |
| 9 | Using LLMs in Development | Sat Mar 07 2026 | Practical examples of how large language models are integrated into real production systems, from support automation and knowledge retrieval to developer tooling, code generation, and intelligent assistants. | AI LLM Generative AI Software Engineering Machine Learning AI Assistants Developer Tools Production AI |
| 10 | Using LLMs in Production | Sat Mar 07 2026 | Learn how large language models are deployed in real-world production environments, including system architecture, retrieval augmented generation (RAG), prompt engineering, evaluation, monitoring, and scaling AI-powered applications. | AI LLM Generative AI Production AI RAG Prompt Engineering AI Deployment MLOps AI Infrastructure |
| 11 | The Economic Impact of Generative AI | Tue Feb 24 2026 | Explore the economic impact of Generative AI across industries, including productivity gains, automation, workforce transformation, and the creation of new digital economies powered by large language models and AI systems. | Generative AI Artificial Intelligence Economic Impact AI Productivity AI Transformation Large Language Models Automation Future of Work AI Economy Digital Transformation |
| 12 | Ethical AI vs Responsible AI vs Trustworthy AI | Tue Feb 24 2026 | Understand the differences between Ethical AI, Responsible AI, and Trustworthy AI, including their principles, governance models, operational practices, and role in building safe and reliable AI systems. | Ethical AI Responsible AI Trustworthy AI AI Governance AI Safety AI Ethics Explainable AI AI Compliance Generative AI NVIDIA |