5 Ways Your Prompts Need To Change To Get The Best of GPT-4o

Summary

This video script provides essential tactics for optimizing prompts to achieve the best results from Chat GPT. It emphasizes the importance of clear details, breaking down complex tasks, utilizing larger prompts with delimiters, referencing texts for specific information, and using one-shot or few-shot prompting with examples. The script illustrates these tactics with practical examples, demonstrating how to structure prompts for detailed outputs, organize virtual conferences, synthesize research findings, and write abstracts in a specific journal style.

Takeaways

• 📝 Be specific and clear in your prompts to provide the AI with more context, leading to more accurate predictions and relevant outputs.
• 📚 Include detailed instructions in your prompts, such as specifying the desired output length, focus, audience, and tone, to guide the AI effectively.
• 🔍 Use examples to illustrate the task, such as one-shot or few-shot prompting, to help the AI replicate the desired outcome more effectively.
• 📈 Break down complex tasks into simpler subtasks to make it easier for the AI to provide precise and helpful responses for each step.
• 📑 Utilize larger prompts with clear delimiters to structure complex interactions and maintain the AI's understanding across a large context window.
• 📘 Provide reference texts and specific questions to extract accurate information, ensuring the AI cites the document and does not fabricate information.
• 🔑 Use delimiters consistently to separate different parts of your request, helping the AI understand where one part of the input ends and another begins.
• 📝 When providing a large prompt, structure it clearly with instructions and examples to guide the AI in generating the desired output.
• 🔬 Test the AI's ability to handle complex instructions by attaching articles and giving detailed tasks, such as summarizing and crafting sections based on those summaries.
• 📋 Demonstrate the effectiveness of using examples by showing how the AI can mimic the style of abstracts from a journal when given two or more examples.
• 📈 The video script emphasizes the importance of prompt engineering techniques to optimize interactions with AI and achieve better results.

Q & A

What are the main tactics discussed in the video for getting the best results from chat GPT?

The video discusses five main tactics: 1) Include specific and clear details in your prompt, 2) Split complex tasks into simpler subtasks, 3) Use larger prompts with delimiters, 4) Provide a reference text, and 5) Use one-shot and few-shot prompting with examples.

Why is it important to include specific details in a prompt for chat GPT?

Including specific details provides the model with more context, which helps it to predict and generate more relevant and accurate subsequent words and tokens.

Can you give an example of a bad prompt according to the video?

A bad example prompt would be something like 'write about AI in healthcare', which is too general and lacks specificity.

What is the purpose of splitting complex tasks into simpler subtasks?

Splitting tasks simplifies the process for chat GPT, making it easier to provide precise and helpful responses for each step of the task.

How does using delimiters help in structuring large prompts for chat GPT?

Delimiters help the AI understand where one part of the input ends and another begins, making it easier to process and respond to complex and detailed prompts.

What is the advantage of using a reference text in prompts?

Using a reference text allows chat GPT to extract specific information and answer questions accurately, ensuring the response is based on the provided document.

How does one-shot prompting differ from few-shot prompting?

One-shot prompting involves giving one example to illustrate the task, while few-shot prompting involves giving two or more examples to help the model replicate the outcome more effectively.

What is the recommended number of examples to use in few-shot prompting according to the video?

The video suggests that using two to five examples in few-shot prompting yields better results.

How does chat GPT handle a question if the reference text does not contain the information needed to answer it?

If the reference text does not contain the necessary information, chat GPT is instructed to respond with 'insufficient information'.

What is the significance of providing examples when asking chat GPT to write in a specific style, such as an academic abstract?

Providing examples illustrates the desired style and structure, enabling chat GPT to replicate it accurately in its response.

What is the next step the video promises to deliver in terms of prompt engineering tactics?

The video promises to cover five more tactics in the next video, encouraging viewers to subscribe for updates.