Real prompt engineers use OpenAI Playground not ChatGPT.
ChatGPT customizes itself to your interactions and the system prompt is over 1,000 words: you can't trust it for clean testing...More
Alright, team, gather 'round! We've got a new task on our hands that requires some serious standardization. We need to create prompt templates to ensure a clean prompt test. Now, I know we're up for the challenge and eager to please, so let's dive right in. \nFirst things first, we'll be using a developer account on platform.openai.com instead of ChatGPT. This will give us more control over system messages and access to different models. Trust me, it's the way to go.\nAlright, now let's set up a template for a specific task. Let's say we want to tell a joke. We'll walk through the process step by step, making sure we test and modify the template along the way to get the desired results.\nSo, grab your thinking caps and let's get those prompt templates up and running. We've got some AI magic to work on! Let's get started! \nGustav Gieger at CEO
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Topic: The Importance of Standardizing Prompt Templates in AI Work
Prompt Templates play a crucial role in standardizing and streamlining work when dealing with AI. In this transcript, the speaker discusses the process of creating prompt templates and highlights the benefits of using a developer account on the OpenAI platform instead of relying solely on ChatGPT.
The speaker starts by using a common task, which is to ask for a funny joke, to demonstrate the limitations of ChatGPT in this particular area. They explain that while ChatGPT may not excel at telling jokes, Chat GPT with GPT-3.5 Turbo (ChatGPT+GPT-3.5 Turbo) is capable of doing so.
To standardize and templatize the prompt, the speaker suggests creating a developer account on OpenAI's platform. They emphasize that no coding knowledge is required, and the cost is usually cheaper than using ChatGPT. The advantage of using the developer account is that it allows for more control over the system message, which can be customized according to specific template requirements.
The speaker mentions that switching models is also easier with the developer account. It provides access to context models, fine-tuned models, and even the latest models like GPT-4. The parameters can be adjusted, such as temperature, maximum length, and stop sequences, to experiment and optimize the AI's responses.
To illustrate the process, the speaker demonstrates how to create a prompt template using the "talk like a pirate" example. They show how the system message can be modified to suit the template's purpose. Once the template is saved, it can be shared with others by providing a link or sharing the code snippet with developers.
The speaker also emphasizes the usefulness of prompt templates for testing purposes. They highlight the ability to easily delete and rerun templates, as well as test multiple templates simultaneously without hitting API rate limits. This flexibility allows for efficient testing and iterative improvements.
In the transcript, the speaker provides an example of a prompt template for generating funny jokes. They explain the structure of the template, with the system message containing general instructions for the task and the user message specifying the specific joke topic and style. The speaker advises against providing multiple examples in the prompt and suggests relying on the message stream for past examples instead.
In conclusion, the speaker stresses the power and effectiveness of prompt templates in standardizing AI work. By using a developer account on the OpenAI platform, users can create
Here's how you create prompt templates to standardize your work when you're working with AI. So this is chatty with T and so you have a task. I'm using a standard task that I like to do a lot of testing for which is to get charged for you to tell me a funny joke, because it's particularly bad at this task. Usually when you ask it for a funny joke, it just gives you a dad joke or it gives you lots of disclaimers.
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