Unlocking Retrieval-Augmented Generation with Clarity and Simplicity
Taking LLMs to the Next Level with Better Relevance and Factual Correctness with Retrieval-Augmented Generation(RAG)
6 min readNov 9, 2023
Suppose you had asked the following question to a Large Language Model like ChatGPT-4
Explain Biden’s AI risks executive order?
Since this is the latest news, LLMs may not know the answer to the question as they are not trained with the information about the topic.
Some LLMs may respond that they don’t know the answer to the question, as shown above, or hallucinate and generate information that is not grounded in reality or factual data, as shown below.
Challenges with LLM
- Static Knowledge Base: Large Language Models (LLMs) like GPT are limited by their training data; they don’t know events or information that emerged after they were last updated. This means they…
