As language models like ChatGPT become more advanced, their ability to understand and respond to complex queries has grown tremendously. However, these models still require some training in order to perform at their best. This is where short training comes in - a technique that involves providing specific instructions to the model to help it better understand the context of the task at hand.
Overall, the goal of the pre-instruction or short training inside a single prompt is to give the language model some context and examples of the type of language and content you want it to generate. This can help the model produce more relevant and accurate output when it comes time to generate text for the actual task prompt.
Best pratices and samples
Here are some best practices for short training a language model like ChatGPT, along with examples to illustrate each point. If you want to pre-instruct or short train a language model in a single prompt before the real task prompt, you can follow these steps:
Structure Your Prompt Effectively
Step 1: When short training a language model, it's important to structure your prompt effectively. This means providing clear and concise instructions that help the model understand the context of the task. A good way to do this is to begin with a brief summary of the task, provide any relevant background information, state the objective of the task, and provide examples of the desired output. For example, if you are asking ChatGPT to summarize a news article, a well-structured prompt might look like this: "Please summarize the following news article about climate change in 2-3 sentences. The article discusses the impact of rising temperatures on sea levels, and includes several examples of the effects on coastal cities." Or start by giving a brief description of the task or context that the language model will be working on. For example, if you want me to generate text related to the topic of gardening, you could start with a prompt like "We're going to be talking about gardening today."
- Use action words to clearly define the task you want ChatGPT to perform. For example, instead of saying "Please write a short story", you might say "Create a 200-word short story about a detective solving a murder case".
- Provide specific instructions for the output you want to receive. For example, if you're asking ChatGPT to summarize a news article, you might say "Please provide a 2-3 sentence summary of this article, including the most important points and key takeaways".
Provide Specific Examples
Step 2: Providing specific examples of the task you want the language model to perform can be a powerful way to improve its accuracy. By including relevant data or vocabulary, you can help the model understand the nuances of the task and provide more accurate responses. This is especially important for complex or technical tasks that require specific domain knowledge. For example, if you are asking ChatGPT to generate product descriptions for a new line of smartphones, you might include specific details about the features and specifications of the phones, as well as any relevant market research data.
So provide a few examples of the types of text you want the language model to generate. These examples should be also representative of the type of language and content you want the model to produce. For example, if you want me to generate descriptions of different types of plants, you could give an example like "Can you tell me about the properties of the cactus plant?"
- Include relevant and specific data or information that relates to the task at hand. For example, if you're asking ChatGPT to write an article about a specific topic, you might include statistics or research data to support the article's claims and arguments.
- Use technical language and industry-specific terms when appropriate. This can help ChatGPT better understand the context of the task and produce more accurate responses.
Use Descriptive Language
Step 3: Using descriptive language in your prompts can help the language model better understand the context of the task. This means providing specific details about the task, including any relevant data, technical terms, or other information that may be important. By doing so, you can help the model understand the task at a deeper level and produce more accurate responses. For example, if you are asking ChatGPT to write a blog post about artificial intelligence, you might include specific details about the history of AI, current trends in the field, and potential applications for the technolog. Of if there are any specific terms or phrases that you want the language model to use or avoid, make sure to mention them in the prompt. For example, if you want the model to use scientific names for plants, you could mention this in the prompt.
- Use vivid and descriptive language to paint a clear picture of the task at hand. For example, if you're asking ChatGPT to write a product description, you might use sensory words to describe the look, feel, and performance of the product.
- Include relevant and descriptive examples to help ChatGPT better understand the task. For example, if you're asking ChatGPT to write a news article, you might provide specific examples of people or events related to the story.
Final Task inside Prompt
Step 4: Finally, give the actual task prompt that you want the language model to generate text for. This prompt should be related to the pre-instruction or short training prompt that you provided earlier.
Short training a language model is not a one-time event - it requires continuous practice in order to produce the best results. This means providing the model with a variety of different prompts and examples, so it can continue to learn and adapt to new tasks. By providing the model with regular practice, you can help it improve its accuracy and performance over time. For example, if you are using ChatGPT to generate social media posts for a business, you might provide the model with a variety of different prompts related to different products, services, or promotions.
How to find the perfect ChatGPT "Short Train / Pre-Instructions" for your case?
Try to ask ChatGPT the following question first.
"What is the best syntax to pre-instruct or short train a language model like you in a single prompt before the real task prompt will follow in the same prompt?"SUBSEO.DE | 2023
Then, depending on the case, ask something like this.
"Give me concrete example. the task is to... write the best quality article ranking on google for a specific keyword or combination of keyword terms. The language model should know: ..." (The reply has been truncated.)SUBSEO | 2023
Response of the ChatGPT AI
"Sure, here's an example of how you could pre-instruct or short train a language model like me for the task of writing a high-quality article that ranks on Google for a specific keyword or set of keywords."ChattGPT 2023
ChatGPT "Short Train" Sequence Examples
Try using this sample pre-instructions for ChatGPT in your prompt, and customise it at the end to suit your needs:
"Today, we're going to be working on a task that involves writing an article that ranks well on Google for a specific keyword or set of keywords. When it comes to article writing, there are a few important things to keep in mind in order to produce high-quality content that ranks well on search engines.." (The reply has been truncated.)ChatGPT 2023
More ChatGPT Hacks & tweaks
Use Templates and Pre-Written Prompts
- You can save time and improve accuracy by using pre-written prompts or templates for common tasks. For example, you might have a set of pre-written prompts for summarizing news articles, writing product descriptions, or generating social media posts.
Fine-Tune the Model
- ChatGPT allows for fine-tuning, which means you can adjust the model to better suit your specific needs. This involves training the model on a small dataset that is specific to your use case, which can help it better understand the nuances of the task.
Use Multiple Languages
- ChatGPT is capable of processing multiple languages, so you can use it to perform tasks in different languages or translate content. This can be especially helpful for businesses or organizations with a global presence.
Use ChatGPT with Other Tools
- ChatGPT can be used in conjunction with other tools to improve accuracy and efficiency. For example, you might use it in conjunction with a text editor or proofreading tool to catch errors or improve writing quality.
Use Contextual Prompts
- Using contextual prompts can help ChatGPT better understand the context of the task and produce more accurate responses. For example, if you're asking ChatGPT to write a product description, you might include details about the target audience or market segment to help it better understand the tone and style of the description.
Conclusion to get the best ChatGPT results
SUBSEO.DE | 2023
"Asking ChatGPT itself for examples of "short training" or "pre instructions" for a specific case is a good idea to start with!"
By using these strategies and incorporating specific examples and industry-specific language into your prompts, you can create the most holistic and effective article on your demand. Remember to practice continuously and provide feedback to help ChatGPT improve over time, and you'll be well on your way to maximizing the benefits of this powerful language model. I hope this information and tips will help you a little bit to understand how things work with "short training" and pre-instruction of an AI like ChatGPT to get the most out of your "prompt".
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