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For the dataframe df_data, the following statement will: df_data.set_index(“ID”, inplace = True)

A useful string method is the ——– method, which returns a boolean if the given string contain the input string.  [BLANK-1]

The boiling points of some group 15 hydrides are tabulated below.   gas b.p. (°C)   NH3 −33.3   PH3 −88   AsH3 −63 Which intermolecular force or bond is responsible for the high boiling point of ammonia relative to the other hydrides?

Write a single statement to slice rows 0,4,6 from the dataframe named df_data and save the results in variable called result_2.

According to the lecture, Fischman’s study found that when vision of the hand was available during catching, non-experienced children made more positioning errors than grasping errors, but experienced children made more grasping errors than positioning errors. 

You are an AI consultant at Horizon Analytics, helping BlueFin Media fine-tune an LLM to match each brand’s tone. After several fine-tuning runs, BlueFin finds that the model’s outputs have the following issues: overusing slang, repetition, and narrow phrasing — losing the flexibility of the base model. Which tuning adjustment(s) would most likely help? (Select all that apply.)

You built a Retrieval-Augmented Generation (RAG) system for your company.Executives often ask broad, multi-part questions such as “What is our travel policy for contractors and interns?” The AI assistant usually retrieves relevant passages, but the coverage feels incomplete — each answer includes only part of the needed information. To help the system capture more complete answers without drastically increasing noise, what adjustment should you try first?

You’re preparing a dataset to fine-tune your company’s customer-service LLM. The goal is to make the model both accurate and generalizable across different types of customer requests. Which of the following are characteristics of high-quality Supervised Fine-Tuning (SFT) data?(Select all that apply.)

As a product manager, you must explain Direct Preference Optimization (DPO) to executives. Which analogy fits best?

You are a project manager, leading the AI alignment project at Aurora Media, where your team is refining a brand-language model to generate emotionally engaging ad copy. Your data scientists have collected human preference labels comparing which ad responses sound more authentic.They are now deciding whether to apply Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO) for alignment. Which step is specific to RLHF and not part of DPO’s training procedure?