Valere Labs Interview Questions and Answers

Q1. Codding questions related to NLP and Python
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Q1. Technical questions on python NLP and ML
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Q1. About hooks and lifecycle in react js
Ans. 
React hooks simplify state and lifecycle management in functional components, enhancing code readability and reusability.
• Hooks like useState and useEffect allow functional components to manage state and side effects.

• useState: const [count, setCount] = useState(0); // Initializes count state.

• useEffect: useEffect(() => { // Side effect code here }, [dependencies]); // Runs after render.

• Lifecycle methods like component...read more
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Q2. About redux and redux think
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Three questions involving normal dsa

Q1. Don't remember exactly
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Q2. Don't remember exactly. Something around work experience
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Q1. More questions related to previous projects
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Q2. More questions related to projects and tasks
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Q1. Normal Salary and joining discussions
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Q2. More about the expectations and role
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Q. 1 Using Python, How can we extract 3-grams from the given document and obtain a list of the generated 3-gram phrases
Q. 2 You are given an integer array containing distinct numbers and you can perform the following operations until the array is empty : if the first element has the smallest value, remove it. otherwise , put the element at the end of the array. Return an integer denoting the number of operations it takes to make nums empty.
Example: Input nums = [3,4,-1]
Output:5
Operation Array
1 [4,3,-1]
2 [-1,3,4]
3 [3,4]
4 [4]
5 []

Q.3 Write a python Code to initialize k cluster centroids for the k-means clustering algorithm using a random dataset.

Q. 4 Write a python function that takes as input and performs stop word removal, stemming, and tokenization. The function should return a list of processed tokens.

Q. 5 Given an integer array nums, move all the even integers at the beginning of the array followed by all the odd integers. Return any array that satisfies this condition.
Input = [3,1,2,4]
expected Output = [2,4,1,3]
Q. 3

Q1. Mostly related to architecture of LLMs and different parts of encoder and decoder models, attention mechanisms, vectorDB, Tokenization, GPT architecture, How to finetune a model , Parameters for finetuning...read more
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