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Implementing a LLM model involves understanding its architecture and parameters.
Understand the architecture of the LLM model, which typically involves multiple layers of neurons.
Implement the model using a deep learning framework like TensorFlow or PyTorch.
Fine-tune the model by adjusting hyperparameters such as learning rate and batch size.
Train the model on a dataset with labeled examples to learn patterns and make p...
I appeared for an interview in Oct 2024.
DATA MANUPULATION AND PTYON CODE
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I applied via Referral and was interviewed before Aug 2021. There was 1 interview round.
Decision tree, xgboost, and regression are machine learning algorithms used for prediction and classification tasks.
Decision tree is a tree-like model that splits data based on the most significant attribute to make predictions.
XGBoost is an optimized implementation of gradient boosting that uses decision trees as base learners.
Regression algorithms are used to predict continuous values based on input features, such as
Loss function measures the difference between predicted and actual values.
It is used to optimize the model during training.
Common loss functions include mean squared error, binary cross-entropy, and categorical cross-entropy.
The choice of loss function depends on the problem being solved and the type of output.
The goal is to minimize the loss function to improve the accuracy of the model.
Loss function can be customized
Latency refers to the time delay between a request and a response. It can be managed through various techniques.
Latency can be reduced by optimizing code and minimizing network calls.
Caching can also help reduce latency by storing frequently accessed data.
Load balancing and scaling can help distribute traffic and prevent bottlenecks.
Asynchronous programming can help improve performance by allowing multiple tasks to be ...
I appeared for an interview before Jul 2021.
Bagging and boosting are ensemble techniques used to improve the accuracy of machine learning models.
Bagging involves training multiple models on different subsets of the training data and then combining their predictions through voting or averaging.
Boosting involves iteratively training models on the same data, with each subsequent model focusing on the samples that the previous models misclassified.
Bagging reduces va...
Diffie-Hellman algorithm is a key exchange protocol used to securely exchange cryptographic keys over a public channel.
It is based on the concept of discrete logarithm problem.
It involves two parties, Alice and Bob, who generate their own private and public keys.
The public keys are exchanged and used to generate a shared secret key.
The shared secret key is used for encryption and decryption of messages.
It is widely use...
I applied via Naukri.com and was interviewed before Jul 2021. There were 3 interview rounds.
I applied via Referral and was interviewed in May 2024. There were 2 interview rounds.
Model inference is the process of using a trained machine learning model to make predictions on new data.
Load the trained model
Preprocess the new data in the same way as the training data
Feed the preprocessed data into the model to make predictions
Interpret the model's output to make decisions or take actions
Optimizing Spark queries involves tuning configurations, partitioning data, using appropriate data formats, and caching intermediate results.
Tune Spark configurations for memory, cores, and parallelism
Partition data to distribute workload evenly
Use appropriate data formats like Parquet for efficient storage and retrieval
Cache intermediate results to avoid recomputation
No, I have not used GEN AI in my work as a Data Scientist.
I have not used GEN AI in any of my projects or analyses.
I am not familiar with GEN AI and its capabilities.
I have not had the opportunity to work with GEN AI in any capacity.
I take my solution to production by following a structured process involving testing, deployment, monitoring, and maintenance.
Develop a robust testing strategy to ensure the solution performs as expected in a production environment
Use continuous integration and continuous deployment (CI/CD) pipelines to automate the deployment process
Implement monitoring tools to track the performance of the solution in real-time and a...
I applied via Job Portal and was interviewed before Jan 2021. There was 1 interview round.
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