Reference: Prompt engineering exercise and answers
Prompt engineering exercises
Complete the following exercies using Watsonx.ai's Prompt Lab. There are many possible solutions. One such solution is provided for each exercise and may be accessed via the answer dropdown immediately following each exercise.
Generate
Goal: Write three sentences about donkeys.
Samples
3 sentences about puppies: - The puppy spun in circles, trying to catch his tail, but ended up tumbling over and over. - His antics had his owners laughing out loud, and even the other puppies at the park stopped to watch the silly sight. - As soon as the two puppies met at the park, their tails began to wag and they bounded around each other with glee.text
3 sentences about kittens: - The little kitten lapped up the milk with her tiny pink tongue, making a cute slurping sound. - The kitten nibbled on the treat, savoring every morsel of the delicious flavor. - As soon as the package was opened, the little kitten's eyes lit up with excitement.text
Example Answer:
Rewrite
Goal: Transform one of these Markdown passages to HTML
Markdown passages
## Background The [IBM Watson Natural Language Processing library](https://dataplatform.cloud.ibm.com/docs/ content/wsj/analyze-data/watson-nlp.html) is a Python library that provides basic natural language processing (NLP) such as syntax analysis and keyword extraction with out-of-the-box, pre-trained models. The Watson NLP library also makes it simple to customize the language models with dictionaries of your domain-specific terms.text
[MURAL](https://mural.co) is an online tool that is like a virtual whiteboard: you can draw shapes, stick notes, and move things around. It’s a fabulous tool for visually organizing ideas, designing solutions, and collaborating with teammates — in real time or asynchronously.text
## Function Using LLMs is pretty easy: prompt the model with text (eg. "I took my dog") and the model generates text as output (eg. "for a walk").text
## Hall of shame: when LLMs go wrong Even the creators of LLMs cannot always fully anticipate or explain these models' output: [ChatGPT's creators can’t figure out why it won’t talk about Trump](https://www.semafor.com/ article/02/03/2023/how-chatgpt-inadvertently-learned-to-avoid-talking-about-trump)text
Example Answer:
Summarize
Goal: Summarize one of these short stories
Short stories
A little bird chirped as she gathered twigs and bits of moss in her beak, flitting back and forth between the trees. With each trip, her nest took shape, becoming cozier and more inviting. And soon enough, she had created a snug home to raise her brood of chirping chicks.text
As soon as the package was opened, the little cat's eyes lit up with excitement. She pounced on the new toy, batting it around the room with joyous abandon. With a contented purr, she snuggled up with her toy, feeling grateful for the love and attention of her caring owner.text
The ship heaved and tossed on the angry sea as the storm raged on. Waves as tall as mountains crashed against the hull, threatening to capsize the vessel. But the captain and crew held steady, navigating the treacherous waters with skill and determination, until finally, the storm subsided and the ship emerged triumphant, battered but unbroken.text
As soon as the two dogs met at the park, their tails began to wag and they bounded around each other with glee. Their owners struck up a conversation, and soon found that they had much in common, bonding over their shared love of dogs and the outdoors. By the end of the day, new friendships had been formed, and both the dogs and their owners left the park with happy hearts and wagging tails.text
Example Answer:
Summary points
Goal: Create a list of topics from one of these meeting transcripts
Transcripts
00:00 [sam] I wanted to share an update on project X today. 00:15 [sam] Project X will be completed at the end of the week. 00:30 [erin] That's great! 00:35 [erin] I heard from customer Y today, and they agreed to buy our product. 00:45 [alex] Customer Z said they will too. 01:05 [sam] Great news, all around.text
00:00 [ali] The goal today is to agree on a design solution. 00:12 [alex] I think we should consider choice 1. 00:25 [ali] I agree 00:40 [erin] Choice 2 has the advantage that it will take less time. 01:03 [alex] Actually, that's a good point. 01:30 [ali] So, what should we do? 01:55 [alex] I'm good with choice 2. 02:20 [erin] Me too. 02:45 [ali] Done!text
00:00 [alex] Let's plan the team party! 00:10 [ali] How about we go out for lunch at the restaurant? 00:21 [sam] Good idea. 00:47 [sam] Can we go to a movie too? 01:04 [alex] Maybe golf? 01:15 [sam] We could give people an option to do one or the other. 01:29 [alex] I like this plan. Let's have a party!text
Example Answer:
Study questions
Goal: Create a list of questions a customer might have about one of these topic passages
Topic passages
You can add a notebook to your project by using one of these methods: creating a notebook file,
copying a sample notebook from the Gallery, or adding a notebook from a catalog. You must have
the Admin or Editor role in the project to create a notebook.
Although the RStudio IDE cannot be started in a Spark with R environment runtime, you can use
Spark in your R scripts and Shiny apps by accessing Spark kernels programmatically. RStudio uses
the sparklyr package to connect to Spark from R. The sparklyr package includes a dplyr interface
to Spark data frames as well as an R interface to Spark’s distributed machine learning pipelines.
The AutoAI graphical tool in Watson Studio analyzes your data and discovers data transformations,
algorithms, and parameter settings that work best for your predictive modeling problem. AutoAI
displays the results as model candidate pipelines ranked on a leaderboard for you to choose from.
Example Answer:
Text extraction
Goal: Extract verbs from one of these sentences
Sentences
As soon as the two dogs met at the park, their tails began to wag and they bounded around each other with glee.
Their owners struck up a conversation, and soon found that they had much in common, bonding over their shared love of dogs and the outdoors.
As soon as the package was opened, the little cat's eyes lit up with excitement.
She pounced on the new toy, batting it around the room with joyous abandon.
Example Answer:
Compare
Goal: Choose one pair of passages and identify what the passages have in common
Passage pairs
"The little bird spent days gathering twigs, leaves, and feathers, carefully crafting her new home. When she finally settled into her cozy nest, she felt a sense of pride and contentment, knowing she had created a safe haven for herself and her future chicks." "The little bird tried to carry a twig that was too big for her, and she ended up tumbling backward, legs sticking up in the air. Her feathered friends tweeted with laughter, and the little bird joined in, knowing that sometimes even the best-laid plans can go awry."text
"The little kitten lapped up the milk with her tiny pink tongue, making a cute slurping sound. Her fuzzy face was covered in a white mustache, and she let out a tiny purr of contentment as she finished her meal." "The little kitten nibbled on the treat, savoring every morsel of the delicious flavor. Her big round eyes widened with delight, and she purred contentedly, grateful for the simple pleasure of a yummy snack."text
"The puppy spun in circles, trying to catch his tail, but ended up tumbling over and over. His antics had his owners laughing out loud, and even the other dogs at the park stopped to watch the silly sight." "The dog chased after the ball, wagging his tail with excitement. His owner threw the ball again and again, and the dog happily retrieved it each time, barking with joy."text
"The naughty donkey nudged the gate open with his nose and ran out into the meadow, braying with delight. His owner shook his head in amusement, knowing that the playful donkey always found a way to bring a smile to his face." "The mischievous donkey chased after the butterfly, but ended up braying in alarm as it flew too close to his face. He stumbled backward and tripped over his own hooves, earning a few giggles from the nearby chickens."text
Example Answer:
Text search
Goal: Find which page contains the sought-after text
Pages to search
Page 1: "A little bird chirped as she gathered twigs and bits of moss in her beak, flitting back and forth between the trees." Page 2: "With each trip, her nest took shape, becoming cozier and more inviting." Page 3: "And soon enough, she had created a snug home to raise her brood of chirping chicks."text
Sample search terms
cozier little enoughtext
Example Answer:
Classify
Goal: Detect chatbot users' intent
Class samples
Sample data source
Class: "hi"
Hello
Hi there
Good evening
Hi
Hi good morning
Class: "question"
Hi I wanted to know how to export data from python notebooks?
Hi there can i recover a deleted notebook?
Hi how do you add a folder of files to a project?
Hi team How can you change the name of a Notebook?
How to upload a dataset from local to RStudio
Good morning can you help me upload a shapefile?
How to start creating R notebook?
Class: "problem"
Hi cant login today with this err The owners accout is not active. This might be caused by expired membership.
I am not able to register my account need your help
Hi I got the message failed to prepare Object-Storage. Would you please give me a suggestion. Thank you.
Hi I am trying to request a new API access key but I dont know what the ID should be for me
When I try to add a model to any project I get an Unauthorized error.
Test input
Hi Anyone there?
Having issues setup WML service
Hi team how can i import data into a project?
Example Answer:
Anomaly detection
Goal: Spot the odd entry out
Data set
1: "donkey" 2: "donkey" 3: "kitten" 4: "donkey" 5: "donkey" 6: "donkey"text
Example Answer:
