With close to 200 million users, ChatGPT-40 has had such a successful launch within the first few months of being in the market. However, truth be told, most users still do not truly understand how to make the most out of this LLM model.
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In this article, I’ll describe effective hacks that you can use to improve and maximize your output for an even greater effect. That said, let’s get started!
6 Effective Hacks for ChatGPT-40
Always Write Clear Instructions
This might sound like a no-brainer to most AI users, but it’s still crucial to remember. LLMs are not able to read your mind. As such, you have to be crystal clear with your instructions, including specifying the desired length of the output, specifying steps if needed, and providing examples where necessary.
Use Output Primers
Another crucial tactic that you can use to improve your responses is output primers. LLM’s primary function is to always complete your prompt. By including an output primer (mostly an incomplete instruction at the end of your prompt), you are able to narrow down the space for a logical first-answer response.
Here’s a direct example:
Try Use Your Own Thought Process
ChatGPT-40 is an AI model that will use your input to give a more definitive answer. An excellent way to ensure you get the right answers to your specific question is by mimicking your own problem-solving flow. Ask yourself, how would you solve this problem?
Then, direct GPT-40 through the step-by-step flow. That helps generate completions for sub-tasks individually, ideally making it possible for the LLM to solve them in isolation.
Reframe Your Prompt
Prompt reframing will help you make subtle changes to your prompt wording but, at the same time, maintaining the query’s original intent. That will encourage GPT-40 to provide more variety in the responses, getting you one step closer to your desired output.
Ask the GPT-40 to Adopt a Persona
As an LLM model, GPT-40 has the potential to perfectly adapt to any persona you input into the model. The memory update that shows at the top of the output indicates that GPT40 will, from here on out, take that specific input into consideration with your future prompts.
Hot tip: Use External Tools
Depending on your specific task, you can easily compensate for the LLM’s weakness by using external tools. For instance, a code execution engine can help the model do the math and run code more efficiently.
Conclusion
Well, there you have it! These life hack tips will help you get the most out of the newly improved GPT40. Remember, LLMs are always under active development. That essentially means their performance is constantly getting better over time.
However, it might take a bit of effort from your side to ensure the response matches up with your input. It’s always good practice to re-evaluate and test your prompt skills continuously as you engage with LLM models. To continue learning more about AI hacks, you can check out my other blog, Exploring the Power of Azure AI Studio and Azure Open AI.
