Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso TensorGo Technologies (Chennai) nel mese di giu 2024
Colloquio
round 1 assignment submission. it was easy, they asked me to build a RAG without training. Then i got shortlisted to round 2 . The round 2 is a technical round. They asked about llms and computer vison and deep learning questions. Then i got rejected after round 2.
Domande di colloquio [1]
Domanda 1
how will you finetune llms?
difference between object detection and image segmentation?
Ho sostenuto un colloquio presso TensorGo Technologies
Colloquio
3 Rounds.
First - technical interview with their AI avatar Zai regarding previous experiences and plans for ongoing research/projects
Second - technical interview with the Computer Vision team lead regarding ongoing projects & research work covering conceptual questions about model requirements, performance, and limitations
Third - HR discussion briefing about the company work culture and expectations
Domande di colloquio [1]
Domanda 1
What are the fine-tuning requirements for a multi-modal model given a specific task?
Ho presentato la mia candidatura online. La procedura ha richiesto 5 giorni. Ho sostenuto un colloquio presso TensorGo Technologies (Hyderabad) nel mese di dic 2024
Colloquio
First round: An Assignment on finetuning an LLM even though my role had nothing to do with it. You are required to make a video explaining the process and code of the assignment.
Second round: Interview with AI Lead, He did not seem well interested in having a conversation. Felt more like viva in college where its just QnA and nothing else.
He did ask some nice and thoughtful questions.
Domande di colloquio [2]
Domanda 1
Imagine there are 2 people in a 2D Image. how would you find the distance between them?
Imagine a camera watching traffic on a crossroad. The camera is writing each of the frames IDs and other information into a csv file. How will you read the csv file while its being written by the the camera.
