Ostello Artificial Intelligence Intern Interview Questions and Answers

They gave me a LLM to develop on the test data

Q1. What is sharding
Ans. 
Sharding is a database partitioning technique to improve performance and scalability by distributing data across multiple servers.
• Sharding involves breaking up a database into smaller, more manageable parts called shards

• Each shard contains a subset of the data, allowing for parallel processing and improved performance

• Examples of sharding implementations include MongoDB's sharded clusters and MySQL's partitioning featur
Answered by AI
Add your answer
Q2. Explain bias variance tradeoff
Ans. 
Bias-variance tradeoff is the balance between underfitting and overfitting in machine learning models.
• Bias refers to the error from erroneous assumptions in the learning algorithm, leading to underfitting.

• Variance refers to the error from sensitivity to fluctuations in the training set, leading to overfitting.

• The tradeoff involves finding the right level of model complexity to minimize both bias and variance.

• Regulariza...read more
Answered by AI
Add your answer