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Aug 22, 2025 · 3 min read · Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing Large Language Model (LLM) outputs by grounding them in external knowledge. However, moving beyond basic RAG requires understanding and implementing advanced concep...
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Aug 18, 2025 · 3 min read · Agentic AI refers to artificial intelligence systems, often called agents, that can autonomously pursue goals without constant human supervision. Unlike traditional AI models that simply respond to a prompt, an agent can perceive its environment, mak...
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Aug 15, 2025 · 1 min read · Building a Thinking Model from a Non-Thinking Model with Chain-of-Thought Most AI models answer directly without showing their reasoning. While fine for simple tasks, this “non-thinking” approach often fails for problems requiring multi-step logic. C...
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Aug 15, 2025 · 4 min read · The Importance of System Prompts and Types of Prompting in AI In the world of AI—especially large language models (LLMs) like ChatGPT—prompts act as the bridge between human intent and machine output. The way a prompt is written and structured determ...
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Aug 13, 2025 · 4 min read · Decoding the Secret Language of AI: Understanding Vector Embedding Ever wondered how your smartphone understands that "travel" is related to "vacation" and not so much to "vegetable"? Or how a movie recommendation system knows you might enjoy a certa...
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