If you are a devops engineer and working in this role for more than three years then you can easily switch to highly paid mlops
What is Retrieval Augmented Generation (RAG) Architecture
The RAG model is designed to enhance the capabilities of natural language processing models by combining elements of retrieval-based methods with generative approaches.
RAG is an AI framework that allows a generative AI model to access external information not included in its training data or model parameters to enhance its responses to prompts.
How to Choose the Right Data Science Bootcamp
In the current data-driven world, the demand for skilled data scientists is higher than ever. Data science has become a pivotal field in various industries, from healthcare and finance to marketing and technology. As a result, many individuals seek to gain the necessary skills to enter this dynamic and rewarding field. Alongside traditional avenues like a Master’s in Data Science, another popular option has emerged: the data science boot camp. But which is the Best Data Science Course for you? This article will analyze the key factors to consider when choosing the right data science boot camp for your needs.
TensorFlow Model Experiment Tracking using MLFlow
Experiment tracking is very important steps when it comes to model deployment in production. When we make model ready for deployment we compare the performances of different recorded experiments and check which one is the optimal one. That is where it becomes very much important to understand how to do experiment tracking for different models trained under different machine learning frameworks. In this post I am explaining step by step approach to do experiment tracking for TensorFlow Based image classification model.
Machine Learning Model Deployment using Docker Container
Model deployment is the next and very important steps once you finalized your model training and development. There are many methods available to deploy the models depending upon the type of serving. There are many serving methods like batch serving, online serving, real time serving or live streaming based serving. In this article I am going to explain one of the deployment mechanism which does online serving using APIs. So I will be explaining how to deploy models using Docker container and run them on production efficiently and reliably.
Linear Regression Interview Questions and Answers
While working in regression analysis, you should be familiar with some very basic but very impactful concepts. In machine learning interviews, you can always expects questions from regression analysis. Regression analysis also develop the basic understanding of machine learning model building as we mostly start our machine learning journey from regression analysis only.
Data Science Duniya 