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One of the challenges in the project was integrating multiple NLP models with different architectures.
Ensuring compatibility and consistency between models
Handling different input formats and output structures
Optimizing performance and computational resources
Addressing potential conflicts or biases between models
Text embedding is a technique to convert text data into numerical vectors for machine learning models.
Text embedding captures semantic meaning of words in a continuous vector space.
Popular methods include Word2Vec, GloVe, and BERT.
Embeddings can be pre-trained or learned from scratch depending on the task.
They are used in NLP tasks like sentiment analysis, text classification, and machine translation.
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I was interviewed before Jun 2016.
I was interviewed before Aug 2016.
I applied via AngelList and was interviewed in Sep 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed in Oct 2020. There was 1 interview round.
For loop is used for iterating over a range of values while for each loop is used for iterating over elements of an array.
For loop is used when the number of iterations is known beforehand.
For each loop is used when the number of iterations is not known beforehand.
For loop can be used with any iterable object.
For each loop can only be used with arrays and other iterable objects.
For loop uses an index variable to access...
I applied via Referral and was interviewed before Nov 2020. There were 3 interview rounds.
posted on 22 Mar 2021
I applied via Naukri.com and was interviewed in Sep 2020. There were 4 interview rounds.
posted on 10 Jul 2024
I applied via Company Website and was interviewed in Jun 2024. There was 1 interview round.
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