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I applied via Company Website and was interviewed in Jul 2024. There were 2 interview rounds.
Transformers in machine learning are a type of deep learning model that uses self-attention mechanisms to process sequential data.
Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feedforward neural networks.
Self-attention allows the model to weigh the importance of different input tokens when making predictions.
Transformers have been widely used in natural languag...
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I applied via Recruitment Consultant and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed before Oct 2020. There was 1 interview round.
I applied via Referral and was interviewed before Oct 2019. There was 1 interview round.
I applied via Campus Placement and was interviewed before Aug 2020. There were 4 interview rounds.
The latest embedded systems are focused on IoT, AI, and machine learning.
Embedded systems are becoming more connected to the internet of things (IoT)
AI and machine learning are being integrated into embedded systems for improved performance
Low-power consumption and high-performance processors are being developed for embedded systems
Examples include Amazon Echo, Nest Thermostat, and Fitbit
I was interviewed before May 2020.
I am a highly motivated individual with a passion for learning and a strong work ethic.
I have a Bachelor's degree in Computer Science from XYZ University.
I have completed several internships in software development, including one at ABC Company where I worked on a team to develop a mobile app.
I am proficient in several programming languages, including Java, Python, and C++.
I am a quick learner and enjoy taking on new c...
I applied via Campus Placement and was interviewed before Feb 2021. There were 3 interview rounds.
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