You are tasked with creating a model that uses a competitive setting between two neural networks to create new data.Which model would you use?

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Generative Adversarial Networks (GANs)

A company is planning to use Generative Al.What is one of the do's for using Generative Al?

Invest in talent and infrastructure

Fairness, transparency, and accountability

Training, Customization, and Inferencing

Preprocessing, Training, and Postprocessing

Initialization, Training, and Deployment

Data Collection, Model Building, and Evaluation

It can lead to unfair or incorrect outcomes.

It ensures faster processing of data by the model.

It can lead to unfair or incorrect outcomes.

It simplifies the algorithm's complexity.

It enhances the model's performance uniformly across tasks.

Al can help businesses complete tasks around the clock 24/7.

Al is suitable only in manufacturing sectors.

Al can help businesses complete tasks around the clock 24/7.

The study and design of intelligent agents

The study of human brain functions

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Regular audits and diverse perspectives

Focus on one language for training data

Use a single perspective during model development

Reinforcement Learning through Human Feedback (RLHF)

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?

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