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I applied via Recruitment Consulltant and was interviewed in Feb 2024. There were 2 interview rounds.
Backpropagation algorithm is used to train neural networks by calculating gradients of the loss function with respect to the weights.
Initialize weights randomly
Forward pass to calculate predicted output
Calculate loss using a loss function like mean squared error
Backward pass to calculate gradients using chain rule
Update weights using gradients and a learning rate
Ensuring correct document retrieval in RAG and discussing a project involving generative AI.
Utilize a combination of retrieval and generative models in RAG to ensure correct document retrieval.
Implement techniques such as fine-tuning the models, using diverse training data, and optimizing hyperparameters.
Regularly evaluate the performance of the models through metrics like precision, recall, and F1 score.
Provide exampl...
More in-depth discussion about the projects. Why did you take certain decisions etc.
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