LLM Memory: Core Concepts for System Design
LLM memory is the unsung backbone of practical, user-centric AI products. Out of the box, large language models are stateless: each prompt is processed in isolation, which is fine for...
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What is RAG (Retrieval Augmented Generation)?
Retrieval Augmented Generation (RAG) is an advanced AI framework that enhances the capabilities of large language models (LLMs) by integrating them with external knowledge bases. Instead of responding solely from their...
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Speech to Text (ASR): How Voice Recognition Works in Real Time
Introduction Have you ever wondered how your phone can “hear” what you say and instantly type it out for you? Or how voice assistants like Siri or Alexa seem to...
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Master the Art of Building an MCP Client in 3 simple steps
This guide walks you through creating a smart agent that interacts with an MCP (Model Context Protocol) server using the mcp-use library. Leveraging LangChain’s ReAct-style architecture, you’ll be able to...
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Build an MCP Server with Python
If you’re looking to build an MCP server with Python, this hands-on guide walks you through every step. Whether you want to connect AI models like ChatGPT, Claude, or Gemma...
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What is MCP in AI: The Building Blocks of AI
When we were kids, we played with building blocks—snap a few pieces together, and suddenly you’ve made a car, a house, or even a tiny robot. MCP works the same...
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Gemma3n: Google’s New Multimodal AI Model for Audio, Vision & Text
Imagine this: you're using your phone to transcribe a live conversation while snapping photos of handwritten notes, and it’s all happening instantly—without an internet connection. No lag, no cloud processing,...
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