Discover the key attribute to consider when selecting between TensorFlow and PyTorch for Large Language Model (LLM) implementation. Learn why ease of use is critical for data professionals. Question During your latest meeting, a client asked you to share, based on your experience, a simple attribute to use when choosing between TensorFlow and PyTorch for …
LLMs for Data Professionals
Discover the best method to evaluate bias in large language models (LLMs) for image classification tasks. Learn how diverse test datasets ensure unbiased and accurate model performance before public release. Question You fine-tune a general large language model using an image dataset of dogs and cats. The objective is to verify the model’s ability to …
Discover why GPUs (Graphical Processing Units) are critical computational resources for training Large Language Models (LLMs). Learn their role in accelerating deep learning processes and reducing training costs. Question What is an example of a computational resource that is heavily used to train LLMs? A. Software development costs B. No computational resources are needed C. …
Learn how to enhance healthcare chatbots by integrating large language models (LLMs) with reinforcement learning from human feedback, enabling better interpretation of patient reports and handling complex inquiries. Question You oversee data analysis for several healthcare departments within a hospital. To streamline the initial patient report analysis process and save doctors’ time, you implement a …
Discover why chatbot quality assurance (QA) is essential in preventing inaccurate responses from large language models (LLMs). Learn how QA impacts user experience and ensures reliable chatbot performance. Question Without quality assurance, what response a large language model chatbot might generate when a user asks: What is the first step in the process of applying …
Learn effective strategies to prevent bias in large language models (LLMs), including real-time monitoring, reinforcement learning, and security measures. Perfect for excelling in the Data Professionals skill assessment certification exam. Question You deploy a large language model across a hospital franchise granting access to 1,200 doctors. Following a month of deployment, you observe a shift …
Learn how to address bias in LLMs for the Data Professionals skill assessment exam. Discover cost-effective techniques like fine-tuning with dual objectives for accuracy and fairness. Question You built a large language model (LLM) that sorts pictures of dogs from pictures of cookies. To make it unbiased, you implemented some debiasing techniques. When you show …
Struggling with evaluating your question-answering LLM? Learn why metrics like F1-score and recall outperform BLEU and ROUGE in assessing LLM performance for QA tasks. Question You have trained a large language model (LLM) for question-answering. After completing the model, you assess its performance using Bilingual Evaluation Understudy (BLEU) and Recall-Oriented Understudy for Gisting Evaluation (ROUGE) …
Learn how beam search enhances fluency in LLM-generated text by exploring multiple candidate sequences for optimal coherence and quality. Key insights for data professionals. Question Given that your team deployed an LLM to generate software documentation based on code comments, you noticed that the generated documentation could be more fluent. What would you do to …
Discover the benefits of edge-based solutions for deploying Large Language Models (LLMs). Learn how edge computing enhances privacy by keeping data local and reduces the risks of data transmission over the internet. Question Which is correct if you choose an edge-based solution to deploy your recent large language model? A. You can ensure uninterrupted service …
Learn how to alter the behavior of large language models (LLMs) beyond single sessions. Discover why implementing human feedback, such as RLHF, is the key to achieving long-term behavior changes in LLMs. Question You must understand what causes overall changes in the behavior of a large language model, rather than just its behavior during a …
Learn how adding an attention mechanism can resolve context tracking issues in Large Language Models (LLMs) when generating high-quality user stories for business analysts. Question Your team deploys an LLM to help business analysts write high-quality user stories. However, many on your team report that the LLM cannot keep track of the context. What would …
Discover expert strategies for optimizing multimodal large language models (LLMs) to address low throughput and high power consumption. Learn how leveraging TPUs can enhance efficiency and scalability. Question Your company specializes in fine-tuning large language models (LLMs) for clients with diverse use cases. One of the projects requires an LLM capable of handling multimodal data. …
Learn how to calculate the F1 score for a model with precision 0 and recall 0.5. Understand why the F1 score equals 0 and its implications for model performance metrics. Question You are using performance metrics to validate a model. The precision and recall for the model is 0 and 0.5. What will be the …
Learn the correct first step to fine-tune a pre-trained BERT model for NLP tasks. Understand why loading the model is essential before data preparation, evaluation, or fine-tuning. Question Given that your team is fine-tuning a pre-trained LLM using BERT, what would be the first step you should follow to start the process? A. Load BERT …
Discover the critical steps to evaluate performance bottlenecks in large language models tailored for physics text completion tasks. Learn why adversarial testing is essential for robust and secure AI systems. Question You develop a large language model tailored for text completion tasks aimed at an audience with a background in physics. You have to be …
Learn the consequences of handling personal data in the U.S. without adhering to GDPR compliance. Understand legal risks, penalties, and security implications for data professionals. Question What happens when handling personal data of individuals residing in the United States by adhering to all the compliance requirements except the General Data Protection Regulation (GDPR)? A. You …
Learn the best cost-effective solution to improve a language model struggling with medical terminologies. Explore practical strategies for enhancing LLM performance in healthcare applications. Question You develop a model to analyze patients’ past medical reports and generate summaries for doctors during their visits. During the beta phase, you distribute the product to a few doctors …
Discover why ROUGE (Recall-Oriented Understudy for Gisting Evaluation) is the go-to metric for evaluating text summarization and machine translation processes. Learn how it works and why it’s essential for NLP tasks. Question Which metric lets you evaluate both text summarization and machine translation processes? A. Recall-Oriented Understudy for Gisting Evaluation (ROUGE) B. Bilingual Automatic Translation …
Discover how Reinforcement Learning from AI Feedback (RLAIF) and Proximal Policy Optimization can improve Large Language Model responses with diversity and style. Learn the best techniques for efficient LLM fine-tuning. Question A large language model provides generic responses. To enhance these responses with diversity and style, you need to gather feedback on the model’s outputs …