Module 1
1) start writing prompts like a pro 2) Design prompts for everyday work task 3) speed up data analysis and presentation building 4) Use AI as a creative or expert partner
Advance Prompting techniques
- Prompt chaining - Chain of thought - tree of thought - Framework for creating agents
5 steps framework of prompting
Task, Context, References, Evaluate, Iterate
1) Task : what you want the AI to do (Persona, Format of the output) 2) Context : Elaborate stuff 3) References: Examples , 4) Evaluate: output (format we want) 5) Iterate: Circular process (refining the prompt until we get great output)
Input frameworks
THoughtfully create really excellent input
1) Separate prompts into shorter Sentences 2) Trying different phrasing or switching to an analogous task 3) introduce constraints to narrow to focus down
Multimodal prompting:
Hallucinations:
it is when a tool provides outputs that are inconsistent, incorrect, or even nonsensical Biases: Ai systems trained on human-generated content often inadvertently inherit the biases present in that content, including those related to gender, race
Module 2
Prompts Example for Day to Day life
Module 3 : Data Analysis and presentation
Presentation:
Module 4
Prompt Chaining: Prompt chaining guides gen ai tool through series of interconnected prompts, adding new layers of complexity along the way Chain of thought prompting : Ask AI to explain its reasoning as a step by step process
Tree of thought prompting :
Meta prompting : Ai will come up with a prompt
Module 5 Agents
1)Simulation Agent: interview, roleplay etc etc
2)Agent for Expert (Feeback)
