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11. ✍️ Lab 3.6: Technique 4: Output format control | Gen AI & Agentic AI Course

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5. Introduction to Langchain | Gen AI & Agentic AI Course

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10. ✍️ Lab 3.5: Technique 3: Chain-of-thought | Gen AI & Agentic AI Course

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9. ✍️ Lab 3.4: Technique 2: Few-shot prompting | Gen AI & Agentic AI Course

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8. ✍️ Lab 3.3: Technique-1 Role Assignment | Gen AI & Agentic AI Course

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7. ✍️ Lab 3.2: Prompt Templates | Gen AI & Agentic AI Course

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6. ✍️ Lab 3.1: Prompting Techniques | Gen AI & Agentic AI Course

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5.1. 🔗 Lab 2: Explore LangChain | Prompts, Chains & LCEL | Gen AI & Agentic AI Course

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4. 🧪 Lab 1: Explore Closed Source Models | Gen AI & Agentic AI Course

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3. 🛠️ Setup Guide: Cursor IDE + Python Environment | Gen AI & Agentic AI Course

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2. 🧠 Introduction to Large Language Models (LLMs) | Gen AI & Agentic AI Course

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Working with Numpy Part 2

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Exception Handling

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File Handling Context Manager

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File Handling in python

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File Handling Part 2

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Type Casting & Input Function

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Local vs Global Variables

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Special Function zip, map, filter

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Lambda Function

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Functions

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For Loop

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While Loop

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Sets

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Strings

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Introduction to Python

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First Code in Python

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SQL with Python Part -5 | SQL Queries Using Python Part 2

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SQL with Python Part -4 | SQL Queries Using Python

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SQL with Python Part -2 | SQL Basics

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SQL with Python Part -1 | Introduction to Databases & DBMS | #sql

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Linear Regression using Gradient Descent(Python Implementation): Part-2 | #Python |#linearregression

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Linear Regression from scratch using Gradient Descent: Part-1 | Theory | #linearregression

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