LLM Answers Got You Scratchin’ Your Head? 🤔

Here’s a Game-Changer!

Author

Captain YAR
May 19, 2025 • Estimated Reading Time: 7 minutes

Hey folks! Ever ask an LLM a question and get something… wild back? 🤪 
Yeah, I’ve been there! It’s like the LLM just makes stuff up.
And guess what? It kinda does!
The author of this awesome Reddit post, PMMEWHAT_UR_PROUD_OF, dropped some serious knowledge bombs about this.

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Turns out, LLMs aren’t answering your questions; they’re just predicting the next word. Mind = blown, right? 🤯 It’s like they’re a super-smart parrot, but we gotta teach ’em the right tune!

✨ The Big Realization ✨

Think of every LLM response as a potential “hallucination.”

It’s not pulling from a database of facts, it’s just guessing what sounds right.

The post compared it to trusting any random Redditor for nuanced info – sometimes good, often… not so much! 😂

⚙️ Supercharge Your Prompts! ⚙️

The post lays out a super helpful 4-step process to guide these LLMs from rambling Redditor to focused fact-finder. It’s all about setting the stage!

📌 1. Prime the Chat: Start by getting the LLM on the right track. Give it a general topic it definitely knows about.
Example: If you want dream facts, start with “talk about studies with dreams.”

🎯 2. Hone In: Now, narrow it down. Get specific about what you’re after.
Example: Follow up with “What do we know for certain about dreams?”

🔗 3. Link to Reality (This is HUGE!): This is where the magic happens! Make the LLM check its own work.
Example: Tell it to “Prepare to use the internet… Go through your last 2 responses and find every factual claim… verify each item… If you find something not factually based, fix it.”

❓ 4. Ask Your Real Question: Now that your LLM is primed and fact-checked, ask what you really wanted to know!
Example: “I’m trying to understand a dream I had. [dream details].”

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💡 Why This Works 💡

Instead of just saying “Act as a psychotherapist” (which gets you an armchair expert), you’re guiding the LLM through a process. You’re placing its attention where actual data lives. It’s like training wheels for its brain!

The author prefers this multi-shot approach because it seriously boosts the quality of the answers. No more wild guesses, just better, more grounded information!

This approach seriously changed how I think about prompting. It’s less about asking and more about guiding.

Want all the nitty-gritty details and the full examples? You gotta check out the original Reddit post! It’s a fantastic read.

🚀 Dive deeper into the full post for the complete lowdown!

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