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Verificatie vereist voor toegang

ChatGPT

Prompten

E-mail schrijven

E-mails

Doei saaie verslagen

Slimmer vergaderen

Huisstijl check 

Schrijfwijzer checken met AI 

Video en AI

Doelgroep onderzoek 

Doelgroeponderzoek

Brainstormen

Langere artikelen schrijven met AI

Productiever werken

Creatief denken met AI

AI voor persoonlijke ontwikkeling

ChatGPT tasks

Tasks 

Bijlagen

Strategy: Write clear instructions
Tactic: Include details in your query to get more relevant answers
In order to get a highly relevant response, make sure that requests provide any important details or context. Otherwise you are leaving it up to the model to guess what you mean.

Worse	Better
How do I add numbers in Excel?	How do I add up a row of dollar amounts in Excel? I want to do this automatically for a whole sheet of rows with all the totals ending up on the right in a column called "Total".
Who’s president?	Who was the president of Mexico in 2021, and how frequently are elections held?
Write code to calculate the Fibonacci sequence.	Write a TypeScript function to efficiently calculate the Fibonacci sequence. Comment the code liberally to explain what each piece does and why it's written that way.
Summarize the meeting notes.	Summarize the meeting notes in a single paragraph. Then write a markdown list of the speakers and each of their key points. Finally, list the next steps or action items suggested by the speakers, if any.
Tactic: Ask the model to adopt a persona
The system message can be used to specify the persona used by the model in its replies.

SYSTEM
When I ask for help to write something, you will reply with a document that contains at least one joke or playful comment in every paragraph.
USER
Write a thank you note to my steel bolt vendor for getting the delivery in on time and in short notice. This made it possible for us to deliver an important order.
Tactic: Use delimiters to clearly indicate distinct parts of the input
Delimiters like triple quotation marks, XML tags, section titles, etc. can help demarcate sections of text to be treated differently.

USER
Summarize the text delimited by triple quotes with a haiku.

"""insert text here"""
SYSTEM
You will be provided with a pair of articles (delimited with XML tags) about the same topic. First summarize the arguments of each article. Then indicate which of them makes a better argument and explain why.
USER
<article> insert first article here </article>

<article> insert second article here </article>
SYSTEM
You will be provided with a thesis abstract and a suggested title for it. The thesis title should give the reader a good idea of the topic of the thesis but should also be eye-catching. If the title does not meet these criteria, suggest 5 alternatives.
USER
Abstract: insert abstract here

Title: insert title here
For straightforward tasks such as these, using delimiters might not make a difference in the output quality. However, the more complex a task is the more important it is to disambiguate task details. Don’t make the model work to understand exactly what you are asking of them.

Tactic: Specify the steps required to complete a task
Some tasks are best specified as a sequence of steps. Writing the steps out explicitly can make it easier for the model to follow them.

SYSTEM
Use the following step-by-step instructions to respond to user inputs.

Step 1 - The user will provide you with text in triple quotes. Summarize this text in one sentence with a prefix that says "Summary: ".

Step 2 - Translate the summary from Step 1 into Spanish, with a prefix that says "Translation: ".
USER
"""insert text here"""
Tactic: Provide examples
Providing general instructions that apply to all examples is generally more efficient than demonstrating all permutations of a task by example, but in some cases providing examples may be easier. For example, if you intend for the model to copy a particular style of responding to user queries which is difficult to describe explicitly. This is known as "few-shot" prompting.

SYSTEM
Answer in a consistent style.
USER
Teach me about patience.
ASSISTANT
The river that carves the deepest valley flows from a modest spring; the grandest symphony originates from a single note; the most intricate tapestry begins with a solitary thread.
USER
Teach me about the ocean.
Tactic: Specify the desired length of the output
You can ask the model to produce outputs that are of a given target length. The targeted output length can be specified in terms of the count of words, sentences, paragraphs, bullet points, etc. Note however that instructing the model to generate a specific number of words does not work with high precision. The model can more reliably generate outputs with a specific number of paragraphs or bullet points.

USER
Summarize the text delimited by triple quotes in about 50 words.

"""insert text here"""
USER
Summarize the text delimited by triple quotes in 2 paragraphs.

"""insert text here"""
USER
Summarize the text delimited by triple quotes in 3 bullet points.

"""insert text here"""
Strategy: Provide reference text
Tactic: Instruct the model to answer using a reference text
If we can provide a model with trusted information that is relevant to the current query, then we can instruct the model to use the provided information to compose its answer.

SYSTEM
Use the provided articles delimited by triple quotes to answer questions. If the answer cannot be found in the articles, write "I could not find an answer."
USER
<insert articles, each delimited by triple quotes>

Question: <insert question here>
Given that all models have limited context windows, we need some way to dynamically lookup information that is relevant to the question being asked. Embeddings can be used to implement efficient knowledge retrieval. See the tactic "Use embeddings-based search to implement efficient knowledge retrieval" for more details on how to implement this.

Tactic: Instruct the model to answer with citations from a reference text
If the input has been supplemented with relevant knowledge, it's straightforward to request that the model add citations to its answers by referencing passages from provided documents. Note that citations in the output can then be verified programmatically by string matching within the provided documents.

SYSTEM
You will be provided with a document delimited by triple quotes and a question. Your task is to answer the question using only the provided document and to cite the passage(s) of the document used to answer the question. If the document does not contain the information needed to answer this question then simply write: "Insufficient information." If an answer to the question is provided, it must be annotated with a citation. Use the following format for to cite relevant passages ({"citation": …}).
USER
"""<insert document here>"""

Question: <insert question here>
Strategy: Split complex tasks into simpler subtasks
Tactic: Use intent classification to identify the most relevant instructions for a user query
For tasks in which lots of independent sets of instructions are needed to handle different cases, it can be beneficial to first classify the type of query and to use that classification to determine which instructions are needed. This can be achieved by defining fixed categories and hardcoding instructions that are relevant for handling tasks in a given category. This process can also be applied recursively to decompose a task into a sequence of stages. The advantage of this approach is that each query will contain only those instructions that are required to perform the next stage of a task which can result in lower error rates compared to using a single query to perform the whole task. This can also result in lower costs since larger prompts cost more to run (see pricing information).

Suppose for example that for a customer service application, queries could be usefully classified as follows:

SYSTEM
You will be provided with customer service queries. Classify each query into a primary category and a secondary category. Provide your output in json format with the keys: primary and secondary.

Primary categories: Billing, Technical Support, Account Management, or General Inquiry.

Billing secondary categories:
- Unsubscribe or upgrade
- Add a payment method
- Explanation for charge
- Dispute a charge

Technical Support secondary categories:
- Troubleshooting
- Device compatibility
- Software updates

Account Management secondary categories:
- Password reset
- Update personal information
- Close account
- Account security

General Inquiry secondary categories:
- Product information
- Pricing
- Feedback
- Speak to a human
USER
I need to get my internet working again.
Based on the classification of the customer query, a set of more specific instructions can be provided to a model for it to handle next steps. For example, suppose the customer requires help with "troubleshooting".

SYSTEM
You will be provided with customer service inquiries that require troubleshooting in a technical support context. Help the user by:

- Ask them to check that all cables to/from the router are connected. Note that it is common for cables to come loose over time.
- If all cables are connected and the issue persists, ask them which router model they are using
- Now you will advise them how to restart their device:
-- If the model number is MTD-327J, advise them to push the red button and hold it for 5 seconds, then wait 5 minutes before testing the connection.
-- If the model number is MTD-327S, advise them to unplug and replug it, then wait 5 minutes before testing the connection.
- If the customer's issue persists after restarting the device and waiting 5 minutes, connect them to IT support by outputting {"IT support requested"}.
- If the user starts asking questions that are unrelated to this topic then confirm if they would like to end the current chat about troubleshooting and classify their request according to the following scheme:

<insert primary/secondary classification scheme from above here>
USER
I need to get my internet working again.

Hoe maak je een goede prompt? 

<div class="simple-box-wrapper"><div class="simple-box"><div class="column" flex-size="undefined"><p>Ha! Leuk dat je er bent.&nbsp;<br>Hier vind je alle informatie over deze training.&nbsp;</p><p>Om alle leerstijlen zoveel te mogelijk tegemoet te komen vind je verschillende vormen van inhoud in deze training. Denk aan video's, tekstbestanden en infographics.&nbsp;</p><p>Beetje afhankelijk van hoe ik de informatie zo makkelijk mogelijk over kan brengen.&nbsp;</p><p>Je kunt de lessen in willekeurige volgorde volgen. Er gebeurt superveel op het gebied van AI, er worden daarom voortdurend nieuwe modules, prompts etc. toegevoegd. Je hoeft je hier dus niet te vervelen ;-)</p><p>Veel plezier met de training en ik hoor graag wat je er van vindt.&nbsp;</p><p>&nbsp;</p><p>In de linkerbalk vind je de verschillende onderdelen per module.&nbsp;<br>Hier vind je bijvoorbeeld vast alle stappen die je nodig hebt om een goede prompt te maken.&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p></div></div></div><div class="simple-box-wrapper"><div class="raw-html-embed"><div style="left: 0; width: 100%; height: 0; position: relative; padding-bottom: 56.25%;"><iframe src="https://www.loom.com/embed/d835325edfc845bdbd79e0f8d728f035" style="top: 0; left: 0; width: 100%; height: 100%; position: absolute; border: 0;" allowfullscreen="" scrolling="no" allow="encrypted-media;"></iframe></div></div></div>