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