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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 was interviewed in Oct 2024.
DATA MANUPULATION AND PTYON CODE
Number of ways to reach nth stair
Jio Platforms interview questions for designations
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 ...
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Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
I applied via Naukri.com and was interviewed before Apr 2022. There were 6 interview rounds.
I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
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