RAG FRAMEWORKS

The Top Open-Source RAG Frameworks to Know in 2025: Build Smarter AI with Real-World Context

Retrieval-Augmented Generation (RAG) is quickly redefining how we build and deploy intelligent AI systems. It isn’t a replacement for large language models (LLMs)—it’s the missing piece that makes them useful in real-world settings. With hallucinations, outdated knowledge, and limited memory being persistent LLM issues, RAG introduces a smarter approach: retrieve factual information from reliable sources,…

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The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs

The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs

Key Concepts Explained   Large Language Models (LLMs): – LLMs are sophisticated AI systems designed to understand and generate human language. They are trained on vast amounts of text data, learning the structure and nuances of language, enabling them to perform tasks like translation, summarization, and conversation.   Fine-Tuning vs. Pre-Training: – Pre-Training: In this…

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llms

How LLMs Work: Step-by-Step Explanation

What is a large language model (LLM)? Large Language Models are machine learning models that employ Artificial Neural Networks and large data repositories to power Natural Language Processing (NLP) applications. An LLM serves as a type of AI model designed to be able to grasp, create, and manipulate natural language. These models rely on deep…

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Programming for Android with Kotlin and Android Studio for beginners

Programming for Android with Kotlin and Android Studio for beginners

Kotlin has rapidly become the preferred language for Android development, thanks to its modern syntax, conciseness, and full support from Google. Whether you’re a beginner stepping into the world of mobile app development or a seasoned developer switching from Java, Kotlin offers powerful features that make Android development more productive and enjoyable. Why Kotlin for…

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