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HP HPE0-V30 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Large Language Models (LLMs) | - LLM capabilities and limitations - Text generation and reasoning tasks |
| Topic 2: Data Preparation & Processing | - Feature representation and embeddings - Data cleaning and labeling |
| Topic 3: NVIDIA AI & Compute Concepts | - AI workload optimization basics - GPU acceleration fundamentals (CUDA) |
| Topic 4: Prompt Engineering | - Chain-of-thought prompting techniques - Zero-shot and few-shot prompting |
| Topic 5: Generative AI & Industry Applications | - GenAI use cases in enterprise environments - Chatbots, summarization, and content generation |
| Topic 6: Retrieval-Augmented Generation (RAG) | - Combining retrieval and generation - Vector databases and similarity search |
| Topic 7: Transformer Architecture & Attention Mechanisms | - Self-attention mechanism - Transformer vs legacy sequence models |
| Topic 8: AI Agents & Automation | - Autonomous task execution using tools - Agent-based workflows |
