Me postulé en línea. Acudí a una entrevista en Accenture en sep 2024
Entrevista
Two rounds - Both Technical Rounds. It took one month of time to schedule 2nd Round. Questions very asked on Machine Learning , Deep Learning , NLP and Generative AI.
Preguntas de entrevista [1]
Pregunta 1
1. What is support vector in SVM?
2. Explain KNN , How do you model it ?
3. Do you train KNN ?
4 . What is 300B Parameter in LLM ?
5. What are the types of libraries worked on NLP ?
6. explain RAG ?
7. What is the difference between deep learning and Machine Learning
8. What is CNN ?
9. What is stemming and Lemmatization ? and which would you prefer?
10. Lets say that a persons chooses stemming over lemmatization what might be the reason ?
11. Why do you use LLM model if you can fetch the required documents from vector database in RAG Approach ?
10.
It was good question asked on azure ai services LLM and azure machine learning
What us RAg
What is inference engineering
And how you deploy a model in production
Using devops mlops
What is transfer learning
Me postulé en línea. Acudí a una entrevista en Accenture (Pune)
Entrevista
the interview process was as it should be. The interviewer was great, and had very good discussion with me. The questions was to the point and there was no pressure.
Preguntas de entrevista [1]
Pregunta 1
What all GenAI projects have you worked on?
Specifics of the work done on previous job.
The First Round Was Introductory. In the second round, the technical discussion took place, and the code was provided for solving. After that, questions were asked based on the code.
Preguntas de entrevista [1]
Pregunta 1
What will the code output if you use the LLM to solve it?