What Large Language Models Are Used To Do.
i). Chatbots
ii). Used for summary
iii). Information retrieval
Let’s look at how these used cases are applied to prompt engineering.
Well, prompt engineering is very vital in communicating with large language models.
What does it mean?
It is the designing and coming up with the proper questions, to get the responses you are looking for from the language model.
This approach is used to avoid hallucinations. And this is where you get false results out of a large language model.
This is because the large language models are predominantly trained on internet data which could be conflicting information.
Then let’s look at prompt engineering from four different approaches.
Four Different Approaches To Look At Prompt Engineering:
i). RAG
ii). COT
iii). ReACT
iv). DSP
Let’s start with RAG:—
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