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Large Language Models are good at understanding text and generating answers. But there is an important problem. By default, an LLM does not truly remember everything that …
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You have downloaded an open source Large Language Model. Maybe it is Llama, Qwen, Gemma, or another model. You load it on an NVIDIA GPU and send a prompt: 1What is the …
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Running a Large Language Model is easy. Running it fast, at scale, and without wasting expensive GPUs is much harder. Imagine you deploy an open source LLM on an NVIDIA …
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Kubernetes can feel confusing when you first learn it. You hear words like: Cluster Node Pod Deployment Service Replica Autoscaling Load Balancer Then someone shows you a …
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Author: Sadman Kabir Soumik What is MCP? MCP stands for Model Context Protocol. It is an open standard created by Anthropic in November 2024. Think of it as a universal …
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Let's first break it down: what exactly are large language models (LLMs), why do we call them 'large,' and how are they different from other types of language models? An …
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Author: Sadman Kabir Soumik What is Generative AI? Generative AI is a subset of artificial intelligence that creates completely new content, like images, videos, music, …
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Blind-75 is a curated list of 75 LeetCode problems compiled by Yangshun Tay. The list can be accessed at this link. Initially, I solved each problem using a brute-force …
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Author: Sadman Kabir Soumik Let's first understand what's MLOps. What is MLOps? MLOps (Machine Learning Operations) is a set of practices and tools used to manage the …
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Transformer-based models are a types of neural network architecture that uses self-attention mechanisms to process input data. They were introduced in the paper …
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Project Goal The project aims to perform image segmentation on selfie images, see how we can blur the image's background, and even replace the background with some other …
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Goal of The Project The project aims to build an Instagram bot that will auto-scroll pages down and Like/Love posts automatically. We must log in to Instagram from our …
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Can you explain the bias-variance trade-off and how it relates to model performance? Machine learning and statistics have a fundamental concept that requires balancing …
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Before jumping into Deep Learning, one must know the classical/traditional Machine Learning algorithms, because understanding traditional machine learning algorithms can …
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Author: Sadman Kabir Soumik Original Two Sum Problem Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to …
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There are 4 main approaches you can consider for model compression. They are: Quantization Pruning Knowledge Distillation Low-Rank Factorization Quantization Quantization …
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Elasticsearch Elasticsearch is a distributed, open-source search and analytics engine based on the Apache Lucene search library. It's designed to provide fast and …
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What is System Design in Software Engineering? System design in software engineering is defining the structure, components, connections, and information for a system that …
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122.Best Time to Buy and Sell Stock II You are given an integer array prices where prices[i] is the price of a given stock on the ith day. On each day, you may decide to …
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Spark MLlib MLlib is a library for machine learning in Spark that aims to make it easy to use and scalable for practical applications. It includes tools for common ML …
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