What is Retrieval Augmented Generation (RAG) in Machine Learning?
Retrieval-Augmented Generation (RAG) Cheat Sheet Retrieval-Augmented Generation (RAG) is a method that enhances large language models (LLMs) outputs by incorporating information from external, authoritative knowledge sources. Instead of relying solely on pre-trained data, RAG retrieves relevant content at inference time to ground its responses. LLMs (Large Language Models) are trained on massive datasets and use billions of parameters to perform tasks like: Question answering Language translation Text completion RAG extends LLM capabilities to domain-specific [...]
What is Metric for Evaluation of Translation with Explicit ORdering?
When evaluating machine translations, assessing how closely the translation matches a human's understanding is essential. METEOR (Metric for Evaluation of Translation with Explicit ORdering) is an evaluation metric that provides a more comprehensive and accurate measurement of translation quality. Unlike traditional metrics like BLEU, METEOR considers precision and recall and the semantic meaning of words and their order in a sentence, offering a more nuanced and reliable translation evaluation. In this article, we'll delve [...]
Simplifying DNS Management: How to Transfer Your Domain’s DNS from GoDaddy to Amazon Route 53
 If you have ever tried to create a website and wanted it to be accessible through a custom web address, then you have already touched the basics of DNS, or Domain Name System. DNS is what connects your domain name to the actual server where your website lives. It plays a critical role in making sure your site is reachable, fast, and secure for users around the world. Many website owners start by [...]
Azure OpenAI
Azure OpenAI Cheat Sheet Azure OpenAI offers access to OpenAI’s powerful models (e.g., GPT-4o, GPT-4 Turbo, GPT-3.5 Turbo, DALL-E, Whisper) with robust security and compliance for enterprises. Hosted on Microsoft Azure, allows for seamless integration with various Azure services and tools. Key Concepts Model Deployment: You must deploy a model (e.g., gpt-4, gpt-35-turbo) to your Azure resource before using it. Quota Types: Dynamic Quota: Shared pool for flexible consumption. Provisioned Throughput Units (PTUs): Dedicated [...]
Google Veo 3: The Latest Breakthrough in AI Video Generation
Artificial intelligence has come a long way from its early days when it could only do simple tasks like solving math problems, playing basic games, or following step-by-step instructions from programmers. Back then, AI relied on fixed rules and couldn’t learn or improve on its own. As technology advanced, AI became more capable and useful. It learned to recognize voice commands, identify faces, suggest videos based on viewing habits, and learn patterns from data. [...]
Why I Chose AWS Lambda to Power My App’s Cloud Logic
For this article, I will demonstrate how I used AWS Lambda as an all-around backend system for a mock-up mobile application I developed for my Design subject in school. The mobile application is an IoT application that integrates communication between a mobile device and a handheld barcode scanner using a Bluetooth module. It also includes security functions, such as code decryption and user statuses. For the dependencies, I used flutter_blue, get, and http. The [...]
What is Area Under the ROC Curve (AUC) in Machine Learning?
Area Under the ROC Curve (AUC) Cheat Sheet AUC, short for Area Under the Curve of the Receiver Operating Characteristic (ROC), is a metric that evaluates how well a model can differentiate between different classes. A performance metric primarily used for binary classification models. Ranges from 0 to 1: 1: Perfect model. 0.5: Model performs no better than random guessing. 0: Model inversely ranks positives and negatives. Accurate Outcomes True Positive (TP): The model [...]
What is BiLingual Evaluation Understudy (BLEU) Score for Machine Translation?
BiLingual Evaluation Understudy (BLEU) Score Cheat Sheet BLEU (BiLingual Evaluation Understudy) is a corpus-level metric designed to automatically evaluate the quality of machine-generated text, most commonly in machine translation (MT). It compares n-gram overlap between the machine’s output and one or more human reference translations. Introduced by Papineni et al. (2002), BLEU became the first automated metric to correlate highly with human judgments in large-scale MT evaluations. It remains a widely used baseline for evaluating [...]
What is RLHF – Reinforcement Learning from Human Feedback?
What is Reinforcement Learning from Human Feedback (RLHF)? A technique to improve AI models using human feedback to guide learning. Builds on reinforcement learning, where AI learns by trial and error to achieve goals. Uses human opinions to determine good or bad outputs, enhancing traditional reward systems. How RLHF Works Data Collection: AI generates multiple outputs (e.g., answers or text snippets). Humans provide feedback by ranking or comparing outputs (e.g., which is better or [...]
AI Learning Simplified: Three Methods That Make Machines Smart
Let’s be honest, in recent years, you might have heard of Artificial Intelligence (AI) a million times in your day-to-day life—but have you ever stopped to wonder, how does AI learn to do all the things it can? From writing essays to driving cars and even powering robots, AI has gone from a distant dream to a constant companion. In fact, many assumes that AI is created with magic that could automatically build itself [...]
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