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ASIGNMENTS

 1. Save Model to drive and link that saved model to use  for prompting 2. Write Agent to run offline/colab and open a google chrome /edge browser and launch SBI Website login

Syllabus

 Syllabus  PE Syllabus

Manual

  PE Lab Manual

QUIZ

  Prompt Engineering — MCQ Quiz 25 Basic + 25 Medium Level Questions (Covering Units I–V) SECTION A: BASIC LEVEL (Q1–Q25) Unit I — Foundations of Prompt Engineering What is prompt engineering primarily concerned with? a) Training a model from scratch b) Designing effective inputs to guide model outputs c) Compiling source code d) Building neural network architectures Prompt engineering differs from fine-tuning mainly because it: a) Requires retraining the model's weights b) Works without modifying the model's parameters c) Needs a labeled dataset d) Is only used for image models Which of the following is a core principle of effective prompt design? a) Ambiguity b) Clarity and specificity c) Randomness d) Long, unstructured text The "anatomy of a prompt" typically includes which component? a) Instruction b) Context c) Output format d) All of the above What is the first step in the iterative prompting lifecycle? a) Deploying the model b) Drafting an initia...

1. Introduction

                          PROMPT ENGINEERING   (SEC)                             Table of Contents   S.No Experiment 1. Environment & Connectivity: Install required packages (e.g., transformers, openai); securely configure the API key; run a simple “Hello, world” prompt to verify model access. 2.                                             Introduction Large Language Models (LLMs): Online Variant Online Large Language Models (LLMs) are accessed through clou...

Syllabus for Prompt Engineering and ChatGPT Skill Enchancement Course

  Course Code Category L T P C C.I.E. S.E.E. Exam   SEC 0 1 2 2 - 50 3 Hrs R23 IV Year I Semester, B.Tech PROMPT ENGINEERING (for CSBS) Course Objectives: This course is designed to: 1. Introduce the fundamental concepts of prompt engineering, including proper design principle, interactive refinement and interaction with LLMs 2. Ability to design and apply advanced prompting techniques 3. enable students to build , evaluate, and deploy prompt driven applications Course Outcomes: Upon the completion of the course students will be able to: S.No Outcome Knowledge Level 1. Apply iterative pro...