Aug 17, 2025 · 5 min read · 🧠 What is an AI Agent? At its core, an agent is an AI system that can: Perceive information from its environment (inputs, data, or context). Decide what action to take based on its goal. Act by carrying out that decision in the environment. Unl...
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Aug 17, 2025 · 3 min read · Artificial Intelligence (AI) has moved beyond just answering questions or following commands. Today, we talk about Agentic AI – a type of AI that does not just “respond,” but also acts like an agent. It can make decisions, plan steps, and perform tas...
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Aug 13, 2025 · 3 min read · The Food Plate Analogy Imagine you have a full plate of delicious food in front of you. Do you try to eat everything at once? Of course not! You take small bites with your spoon, breaking down the meal into manageable pieces that you can chew and dig...
Join discussionJul 1, 2025 · 12 min read · Artificial Intelligence(AI) has recently become a hot topic across industries transforming sectors like finance, healthcare, education and research. The two of its subfields are Generative AI and Machine Learning(ML), but both of these terms are ofte...
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Jun 1, 2025 · 7 min read · Ever imagined chatting with the Prime Minister of India — and getting witty, motivational, and perfectly "Modiji-style" answers? Welcome to the world of persona prompting in AI! As AI evolves, we're not just limited to getting factual answers — we ca...
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Apr 17, 2025 · 2 min read · What is RAG? RAG (Retrieval-Augmented Generation) is a technique that enhances Large Language Models (LLMs) by incorporating information from external sources. It enables the generation of more accurate and up-to-date responses by combining real-worl...
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Apr 8, 2025 · 5 min read · ENCODER: Suppose that we can have a one of a complex puzzle so we can breakdown it can a small pieces to that in can easily can we understand for a ai models that small pieces is called as a latent representations . Encoders are used to reduce clutte...
Join discussionMar 26, 2025 · 2 min read · What is Gen AI? Non-Generative AI: Here no new content is generated. The content already exist and the model just learns from the data to give output. Example: Credit card fraud detection,salary predictor Generative AI: Here the data is generated.It ...
Join discussionFeb 21, 2025 · 2 min read · Full Article TL;DR I built an app that uses multiple AI agents (Security Architect, Risk Analyst, and Compliance Officer) to automatically review security proposals from different perspectives. The agents discuss the proposal together and generate a...
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Dec 1, 2024 · 3 min read · Recently, I had the opportunity to experience this firsthand when I purchased a course that offered two options: with an AI assistant and without an AI assistant. Naturally, I chose the AI-enabled option, and it turned out to be a game-changer for my...
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