AI Engineer Interview Questions and Answers for Freshers

The best way to store information in a Vector DB is by using a combination of indexing and compression techniques.

• Use indexing to quickly locate specific data points within the Vector DB.

• Implement compression techniques to reduce storage space and improve query performance.

• Consider using a columnar storage format for efficient data retrieval and analysis.

• Utilize vectorized processing for faster query execution on large datasets.

Optimise retrieval from Vector DB by using indexing, caching, and query optimization techniques.

• Implement indexing on frequently queried fields to speed up retrieval.

• Utilize caching mechanisms to store frequently accessed vectors in memory for faster retrieval.

• Optimize queries by using efficient algorithms and data structures to reduce retrieval time.

• Consider using parallel processing techniques to retrieve vectors in parallel for improved performance.

Generative AI is a type of AI that can create new data, such as images, text, or music, based on patterns it has learned.

• Generative AI uses algorithms to generate new content that is similar to the training data it has been provided.

• Examples of generative AI include deep learning models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

• Generative AI can be used in various fields such as art, music, and even in creating realistic deepfake videos.