Love in the air, as well as the perfect artificial intelligence partners: Llms and Rag! 💑
Llms is great in writing and answering questions, but sometimes things are wrong. This is where Rag comes – he finds real facts and llms helps stay accurate. Together, they make a strong husband: create one, other screens.
Let’s dive into the love story of this intelligence and reliability.
LLM meeting: The magical and forgotten king👑
Imagine someone who read millions of books, stories and articles. They are magicians and Bligon, and they can talk about almost anything – history, science, poetry, even love! This is what a large language model (LLM) does. Amnesty International is trained to understand and generate a human -like text, which makes the talks feel natural and attractive.
But like a forgetful lover, LLMS does not store what they learn in a database or notebook. Instead, they get to know the patterns – how the words fit together, how the sentences flow, and what makes the response appear natural. So when you ask a question, they are not looking for the answer; They expect this based on their training, such as incredibly intelligent self -completion.
The problem? Sometimes, they guess wrongly. He may tell you with confidence with something that seems correct but incorrect. Worse than that they have no memory of recent events – what happened yesterday is unknown to them like a non -read love speech.
This is the place where Rag is taking – its ideal matching, the trusted partner and the Al -Mustair who keeps them on the right track.
A rag: the honest and reliable partner💫
Every sweet speaker needs someone to keep them on the ground, and this is the place where Rag is stepping (the enhanced generation of retrieval). If LLM is the magical stories narrators that are sometimes transferred, the Rag is the worthy partner with confidence that brings the facts, clarity and truth to the conversation.
But how does Rag really work? Think about it like this:
Imagine a conversation with someone who speaks beautifully but tends to forget the important details. You want to know the latest news on a topic, but instead of making something, stop, check a reliable source, then give you an answer. This is exactly what Rag is doing!
Here is how to work:
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You ask a question. Instead of just guessing, RAG recalls relevant information from a reliable source – such as books, articles, or database.
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Rag carefully chooses the most relevant facts. He not only chooses anything – he finds the best and most useful information of information, and a noise filtering.
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Flasting these facts to LLM. Now, instead of only relying on previous training, LLM gets new knowledge in the world.
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LLM woven everything in a soft natural response. It takes the facts from a rag and turns it into a good, organized answer, which feels human and attractive.
This means that Rag does not only store knowledge – it finds it when needed. Unlike LLM, which learn from huge amounts of data but not updating itself, Rag always has access to the latest and most reliable information.
Amnesty International’s love story is perfect💗
LLM is a smooth speaker, full of creativity but sometimes lost in imagination (hallucinations). A trusted partner rag, always brings the truth to the table. Only, they have defects – together, they create the magic of artificial intelligence.
*No llms or breach did not participate in writing this because they are on Valentine’s Day, and they may exchange sweet claims with each other!*😉
You reliably (unlike LLM 😅),
Shiam Ganesh Sayram