Uploaded March 2025 | Updated September 2026, 2 weeks ago

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In this series, we’ve explored the core concepts of Generative AI and how they’re reshaping industries and workflows.

What We’ve Covered So Far:
• 🤖 AI Paradigms: Understanding Machine Learning, Deep Learning, and how Generative AI stands out by creating new content.
• 💡 Large Language Models (LLMs): The foundation of GenAI, focusing on generating context-aware, accurate text while balancing performance and cost.
• 🌍 Real-World Applications: From AI-enhanced visuals to automating communication and creating natural audio experiences.
• ✍️ Prompt Engineering: Techniques like role-playing, zero-shot prompting, and prompt chaining to improve AI outputs.
• 🔍 Retrieval-Augmented Generation (RAG): Merging data retrieval with AI generation for precise, context-driven responses.

With these fundamentals, you’re now ready to dive deeper into applying Generative AI to your data using H2O Enterprise GPTe. 🚀

#GenerativeAI #H2Oai #LLM #RAG #PromptEngineering #h2oGPTe #AIInnovation #AIApplications #TechSeries