Xoriant Lead Data Scientist Interview Questions and Answers

Key topics in Generative AI include Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).

• RAG combines generative models with retrieval mechanisms to improve text generation.

• LLMs like GPT-3 and BERT are pre-trained on large text corpora to generate human-like text.

• Ethical considerations in using LLMs for text generation, such as bias and misinformation.

• Applications of RAG and LLMs in natural language pro...read more

I have a strong understanding of the existing project and the technology stacks used.

• The existing project is a data analytics platform used for analyzing customer behavior and making data-driven decisions.

• The technology stacks used include Python for data processing, SQL for database management, and Tableau for data visualization.

• I have experience working with machine learning algorithms such as regression, classificat

I have contributed to improving data processing efficiency by implementing advanced machine learning algorithms and optimizing existing models.

• Implemented advanced machine learning algorithms to improve predictive accuracy

• Optimized existing models to increase efficiency and reduce processing time

• Developed automated data processing pipelines to streamline workflow

• Collaborated with cross-functional teams to integrate new...read more

Work challenges and solutions in data science role

• One challenge is handling large volumes of data efficiently, solution is implementing parallel processing techniques like MapReduce

• Another challenge is ensuring data quality, solution is developing data validation processes and implementing data cleaning algorithms

• Dealing with complex algorithms is a challenge, solution is continuous learning and staying updated with la

Generative AI and NLP are advanced technologies used to create content and understand human language.

• Generative AI involves creating new content, such as images, music, or text, using algorithms like GANs.

• NLP focuses on understanding and generating human language, used in chatbots, sentiment analysis, and language translation.

• Use cases of Generative AI include deepfake videos, art generation, and text generation.

• NLP is...read more