1. Prompt Routing: Dynamically decide whether to respond, search internal data, or hit the internetbased on the user’s prompt.
2. Query Writing: Write its own query functions with filters, sorting, and parameters to get exactly the right results.
3. Data Processing: Clean, transform, enrich, and summarize raw inputs so they’re ready for reasoning or downstream tasks.
4. Tool Orchestration: Pick the right tools/APIs, chain them together, handle fallbacks, and adapt workflows in real time.
5. Decision Support & Planning: Break down goals into steps, compare options, prioritize, and recommend next actions.
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📊 Classification vs. Regression
📈 Classification assigns data to categories, like spotting spam emails, diagnosing diseases (benign or malignant), or recognizing digits. It picks the right label.
⚙️ Regression predicts continuous numbers, such as forecasting stock prices, estimating car mileage, or tracking temperature trends. It finds the exact value.
🔄 Together, they power AI: classification for decisions, regression for trends.
📈 Classification assigns data to categories, like spotting spam emails, diagnosing diseases (benign or malignant), or recognizing digits. It picks the right label.
⚙️ Regression predicts continuous numbers, such as forecasting stock prices, estimating car mileage, or tracking temperature trends. It finds the exact value.
🔄 Together, they power AI: classification for decisions, regression for trends.
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