Prompt

Engineering

Getting started with

No-Code Deep Learning

Getting started with

1. Simulink
2. Network Designer App

Do you know ChatGPT ?

Generative Pre-Trained Transformer

How well do you know?

How well do you know?

Prompt Engineering

Prompt Engineers?

Prompt Engineers?

 Prompt??

 Prompt??

 Prompt??

 Prompt??

 Prompt??

You are now going to introduce prompt engineering.

There is a workshop being conducted for anokha 2023 ( Amrita's annual tech fest) regarding prompt engineering, you will be now introducing prompt engineering in that workshop.

Now, generate some introductory paragraphs, with example prompts to motivate prompt engineering. 

Introduction:

 Elements of Prompt??

Instruction - a specific task or instruction you want the model to perform

Context - external information or additional context that can steer the model to better responses

Input Data - the input or question that we are interested to find a response for

Output Indicator - the type or format of the output.

Settings of Prompt??

Settings of Prompt??

Temperature and Top_k

High

Low

Alter any one

Tips for designing prompts

Tips for designing prompts

• Start Simple
• Instruction
• Specificity
• Avoid Impreciseness
• Don't tell what not to do

Advanced Prompting Techniques

Advanced Prompting Techniques

Zero shot Prompting

Advanced Prompting Techniques

Zero shot Prompting

Prompt:

Classify the text into neutral, negative or positive.
Text: I think the vacation is okay.
Sentiment:

Advanced Prompting Techniques

Zero shot Prompting

Prompt:

Classify the text into neutral, negative or positive.
Text: I think the vacation is okay.
Sentiment:

Output:

Neutral

Advanced Prompting Techniques

Few shot Prompting

Advanced Prompting Techniques

Few shot Prompting

Advanced Prompting Techniques

Few shot Prompting

Reasoning Tasks

Advanced Prompting Techniques

Chain-of-thought Prompting

Advanced Prompting Techniques

Chain-of-thought Prompting

Advanced Prompting Techniques

Self Consistency

Few shots + CoT

Advanced Prompting Techniques

Generated Knowledge Prompting

Advanced Prompting Techniques

Generate Knowledge Prompting

Pitfalls of LLMs

Pitfalls of LLMs

Citing Sources​

No Internet access

Pitfalls of LLMs

Bias​

stereotypical responses

Pitfalls of LLMs

Hallucinations

confidently give a wrong answer

Pitfalls of LLMs

Math

Bad at math

Models

Models

Flan (Finetuned Language Models)

Models

ChatGPT (Gen___ Pre___ T___)

Models

LLaMA (Large Language Model Meta AI)

Models

LaMDA (Language Model for Dialogue Applications)

Models

Many More

Midjourney

Have Time ?
Interested ?

Midjourney

Midjourney

Aspect Ratio:

--ar [ratio] changes the default ratio (1:1) to a new ratio

Midjourney

Chaos:

--c [value] sets a chaos value that determines how much Midjourney varies the prompt

Midjourney

Quality:

--q [value] defines how much time will be spend generating the image

Midjourney

Seed:

--seed [value] sets a seed number which defines the starting point (noise field) for the image generation.

Midjourney

Stylize:

--stylize [value] or --s [value] influences how strongly Midjourney applies its artistic algorithm

Midjourney

Tile:

--tile generates images that can be used as repeating tiles to create seamless patterns for fabrics, wallpapers and textures

Gifts

Gifts

Gift 1:

Access Bard and Try it out

Gifts

Gift 2:

Images in _____

Gifts

Gift 2:

Images in ChatGPT