Course Assignments
Graded Quiz: Introduction to RAG :Build RAG Applications: Get Started (BM RAG and Agentic AI Professional Certificate) Answers 2025
Question 1 How does RAG ensure more accurate responses for specialized queries? ❌ Retraining the model❌ Increasing token count❌ Embedding all queries in parameters✅ Using external knowledge sources to augment the prompt Explanation:RAG retrieves relevant domain knowledge and injects it into the prompt, improving accuracy. Question 2 How should Marina ensure an accurate answer about… <a href="https://codeshala.io/platform/coursera/course/build-rag-applications-get-started-bm-rag-and-agentic-ai-professional-certificate/assignment/graded-quiz-introduction-to-rag-build-rag-applications-get-started-bm-rag-and-agentic-ai-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Introduction to RAG :Build RAG Applications: Get Started (BM RAG and Agentic AI Professional Certificate) Answers 2025</span></a>
Graded Quiz: Building Apps with RAG :Build RAG Applications: Get Started (BM RAG and Agentic AI Professional Certificate) Answers 2025
Question 1 What is the primary purpose of gr.Interface in Gradio? ❌ Manage authentication✅ Create interactive web interfaces for Python functions❌ Compile Python code❌ Optimize ML performance Explanation:gr.Interface quickly converts Python functions into shareable UI components. Question 2 Alex wants to set up a Gradio interface. What steps should he follow? ❌ Manually create a… <a href="https://codeshala.io/platform/coursera/course/build-rag-applications-get-started-bm-rag-and-agentic-ai-professional-certificate/assignment/graded-quiz-building-apps-with-rag-build-rag-applications-get-started-bm-rag-and-agentic-ai-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Building Apps with RAG :Build RAG Applications: Get Started (BM RAG and Agentic AI Professional Certificate) Answers 2025</span></a>
Graded Quiz: Build RAG Apps with LlamaIndex :Build RAG Applications: Get Started (BM RAG and Agentic AI Professional Certificate) Answers 2025
Which step does LlamaIndex combine with prompt augmentation? ❌ User prompt acceptance❌ Vector storage❌ LLM response generation✅ Document chunking Explanation:LlamaIndex tightly integrates document chunking + prompt augmentation during retrieval and query processing. Question 2 Purpose of LangChainNodeParser? ❌ Load directories✅ Wrap LangChain’s text splitters❌ Embed prompts❌ Store vectors Explanation:LangChainNodeParser allows LlamaIndex to use LangChain’s text-splitting… <a href="https://codeshala.io/platform/coursera/course/build-rag-applications-get-started-bm-rag-and-agentic-ai-professional-certificate/assignment/graded-quiz-build-rag-apps-with-llamaindex-build-rag-applications-get-started-bm-rag-and-agentic-ai-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Build RAG Apps with LlamaIndex :Build RAG Applications: Get Started (BM RAG and Agentic AI Professional Certificate) Answers 2025</span></a>