Course Assignments
Graded Quiz: Transformers and Fine-Tuning :Generative AI Engineering and Fine-Tuning Transformers (IBM AI Engineering Professional Certificate) Answers 2025
1. Why is PyTorch great for rapid prototyping? ❌ It has intuitive Python syntax❌ It offers tools for many ML models❌ It supports diverse neural architectures✅ It allows real-time testing of code segments without waiting for full implementation Explanation:PyTorch’s eager execution means operations run immediately, allowing fast debugging and incremental testing. 2. Best fine-tuning method… <a href="https://codeshala.io/platform/coursera/course/generative-ai-engineering-and-fine-tuning-transformers-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-transformers-and-fine-tuning-generative-ai-engineering-and-fine-tuning-transformers-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Transformers and Fine-Tuning :Generative AI Engineering and Fine-Tuning Transformers (IBM AI Engineering Professional Certificate) Answers 2025</span></a>
Graded Quiz: Parameter Efficient Fine-Tuning (PEFT) :Generative AI Engineering and Fine-Tuning Transformers (IBM AI Engineering Professional Certificate) Answers 2025
1. What does QLoRA use to minimize memory during fine-tuning? ❌ Zero-shot inference❌ Few-shot inference✅ 4-bit quantization❌ LoRA adaptation Explanation:QLoRA uses 4-bit quantization to compress model weights and drastically reduce GPU memory usage during fine-tuning. 2. Which technique adds low-rank matrices to reduce trainable parameters? ❌ Soft prompts❌ Full fine-tuning✅ LoRA❌ Additive fine-tuning Explanation:LoRA uses… <a href="https://codeshala.io/platform/coursera/course/generative-ai-engineering-and-fine-tuning-transformers-ibm-ai-engineering-professional-certificate/assignment/graded-quiz-parameter-efficient-fine-tuning-peft-generative-ai-engineering-and-fine-tuning-transformers-ibm-ai-engineering-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Graded Quiz: Parameter Efficient Fine-Tuning (PEFT) :Generative AI Engineering and Fine-Tuning Transformers (IBM AI Engineering Professional Certificate) Answers 2025</span></a>