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I applied via Approached by Company and was interviewed in Aug 2024. There was 1 interview round.
Data pipeline is a series of tools and processes used to collect, process, and move data from one system to another.
Data pipeline involves extracting data from various sources
Transforming the data into a usable format
Loading the data into a destination for storage or analysis
Examples include ETL (Extract, Transform, Load) processes, Apache Kafka, and AWS Data Pipeline
Cache in FastAPI is used to store and retrieve data to improve performance.
Cache in FastAPI can be implemented using tools like Redis or Memcached.
It helps in reducing the response time by storing frequently accessed data.
Cache can be used to store database query results, API responses, or any other computationally expensive data.
By caching data, FastAPI can serve requests faster and improve overall application perform
I applied via LinkedIn and was interviewed in Dec 2024. There was 1 interview round.
Write a program to make a code editor
I applied via Company Website and was interviewed in Oct 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed in Feb 2024. There were 2 interview rounds.
Basics fundamental question of oops and development and difference between linear and non linear data structures
Micro1 interview questions for popular designations
I applied via Recruitment Consulltant and was interviewed in Aug 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed in Mar 2024. There were 2 interview rounds.
Easy level question were asked here.
I applied via Approached by Company and was interviewed in Feb 2024. There was 1 interview round.
LLM stands for Large Language Models, which are AI models trained on vast amounts of text data to understand and generate human language.
LLMs use deep learning techniques to process and understand language data.
Some popular LLMS include GPT-3 (Generative Pre-trained Transformer 3) by OpenAI and BERT (Bidirectional Encoder Representations from Transformers) by Google.
LLMs have been used in various applications such as n...
RAG pipeline is a framework used for ranking and generation tasks in natural language processing.
RAG stands for Retrieve, Aggregate, Generate.
It involves retrieving relevant information, aggregating it, and generating a response.
Used in tasks like question answering and text summarization.
Can be implemented using transformers like BERT or T5.
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I applied via Campus Placement and was interviewed before Mar 2021. There were 3 interview rounds.
Normal aptitude , moderate level
Same c / Java based coding test , what u have practiced in college level
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