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Question 1

(0)

What is Artificial Narrow Intelligence (ANI)?

Question 2

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A company is considering using Generative Al in its operations. Which of the following is a benefit of using Generative Al?

Question 3

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A team is analyzing the performance of their Al models and noticed that the models are reinforcing existing flawed ideas. What type of bias is this?

Question 4

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A company is implementing governance in its Generative Al. What is a key aspect of this governance?

Question 5

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A startup is planning to leverage Generative Al to enhance its business. What should be their first step in developing a Generative Al business strategy?

Question 6

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A company is developing an Al strategy. What is a crucial part of any Al strategy?

Question 7

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What are the three key patrons involved in supporting the successful progress and formation of any Al-based application?

Question 8

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What is the difference between supervised and unsupervised learning in the context of training Large Language Models (LLMs)?

Question 9

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Why is diversity important in Al training data?

Question 10

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What is the first step an organization must take towards developing an Al-based application?

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Related questions

A tech startup is developing a chatbot that can generate human-like text to interact with its users. What is the primary function of the Large Language Models (LLMs) they might use?

What is the first step an organization must take towards developing an Al-based application?

A team is working on improving an LLM and wants to adjust the prompts to shape the model's output. What is this process called?

A data scientist is working on a project where she needs to customize a pre-trained language model to perform a specific task. Which phase in the LLM lifecycle is she currently in?

A financial institution wants to use a smaller, highly specialized model for its finance tasks. Which model should they consider?

A team is working on mitigating biases in Generative Al. What is a recommended approach to do this?

What is the primary purpose oi inferencing in the lifecycle of a Large Language Model (LLM)?

Why is diversity important in Al training data?

A company is developing an Al strategy. What is a crucial part of any Al strategy?

What is one of the positive stereotypes people have about Al?

Question 49 - D-GAI-F-01 discussion

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What are the three broad steps in the lifecycle of Al for Large Language Models?

A.

Training, Customization, and Inferencing

B.

Preprocessing, Training, and Postprocessing

C.

Initialization, Training, and Deployment

D.

Data Collection, Model Building, and Evaluation

Show Answer

asked 16/09/2024

carlos baptista

34 questions

User

Your answer: A B C D

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