From the course: Introduction to Large Language Models (LLMs) and Prompt Engineering by Pearson
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Working with prompts across models
From the course: Introduction to Large Language Models (LLMs) and Prompt Engineering by Pearson
Working with prompts across models
Now, speaking of talking about prompts across different models, like coherent and whatnot, now I should be clear in that we've mentioned LLAMA2 before from Meta.ai, the LLAMA2 being a relatively recent modern LLM with 70 billion parameters and aligned, I should add, to adjust to human preference, if I ask it simply translate to Turkish, where is the nearest restaurant on the top left, I'm not able to provide information in Turkish. However, I can suggest ways for you to find the nearest restaurant. You can use online directories, and I'm not going to read the rest of that. So just because you are using a popular LLM with billions of parameters that has been aligned through reinforcement learning doesn't mean you can just take a prompt that has been working for one LLM and use it on another. These are not interoperable LLMs for the most part, especially when it comes to prompting. So when you are deciding which AI to use, which LLM to use, you have to remember that you can't just take…
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