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Rahul Agarwal
Founder | Agentic AI... • 6h
3 AI systems shaping future AI applications, must know. I've explained key points for each. 1. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗜 (𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴) AI systems designed to 𝗮𝗻𝗮𝗹𝘆𝘇𝗲 𝗵𝗶𝘀𝘁𝗼𝗿𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀. 𝗗𝗮𝘁𝗮 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 • Data Collection from Databases • Data Cleaning & Normalization • Handling Missing or Noisy Data 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 • Selecting Important Variables • Transforming Raw Data • Creating Meaningful Data Signals 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 • Training ML Models on Labeled Data • Pattern Learning & Optimization • Model Evaluation & Testing. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 & 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 • Risk Prediction • Demand Forecasting • Trend Analysis 𝗚𝗼𝗮𝗹: Predict outcomes using historical data. ____________________ 2. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 (𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻) AI systems designed to 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗻𝗲𝘄 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗻𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲𝘀. 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 • Large Language Models (LLMs) • Image & Video Generation Models • Multimodal AI Systems 𝗠𝗼𝗱𝗲𝗹 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • Fine-Tuning on Domain Data • Prompt Engineering Techniques • Instruction Tuning 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 • Retrieval-Augmented Generation (RAG) • External Knowledge Bases • API & Tool Integration 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 • Text & Article Creation • Code Generation • Image, Audio & Video Creation 𝗚𝗼𝗮𝗹: Generate useful and creative outputs. ___________________ 3. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 (𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀) AI systems designed to 𝗽𝗹𝗮𝗻, 𝗲𝘅𝗲𝗰𝘂𝘁𝗲, 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝘁𝗮𝘀𝗸𝘀 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀𝗹𝘆. 𝗧𝗮𝘀𝗸 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 • Goal Understanding • Task Decomposition • Step-by-Step Planning 𝗧𝗼𝗼𝗹 𝗨𝘀𝗮𝗴𝗲 • Search & Retrieval Tools • APIs & External Systems • Software Automation Tools 𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻 • Coordinator Agents • Specialized Worker Agents • Multi-Agent Collaboration 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 & 𝗢𝘂𝘁𝗽𝘂𝘁 • Autonomous Task Execution • Iterative Improvement • Final Output Delivery 𝗚𝗼𝗮𝗹: Complete complex workflows automatically. ✅ 𝗜𝗻 𝘀𝗵𝗼𝗿𝘁: Predictive AI 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝘀. Generative AI 𝗰𝗿𝗲𝗮𝘁𝗲𝘀. Agentic AI 𝗲𝘅𝗲𝗰𝘂𝘁𝗲𝘀. The future of AI systems lies in combining all three layers together. ✅ Repost for people who are building AI systems & solutions.
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