Jun '24 (edited) • Full Stack Development with AI
How to train an AI with data?
Hello guys!!
I'm starting to build things with ia using crewIA and langchain, and I have studied some of the basics things, the channel of brandon is so helpful!!
But I have questions, more specific about how to give training data to the LLM so can be a really expert in a specific task.
In these case I want to make a ia tool that based on some training data in json format (10 years of news events and how impact in the FOREX market), the ia is capable of make financial advices to help trading investors in their decisions.
Basically my idea is to build an ia that can help the traders understanding how the news of the week can impact the FOREX market.
Now to make these I have the data in json format, but I have problems understanding how to use these data to train the LLM.
As I know there are two methods to train a ia:
*Fine-tuning
*RAG system
but, I don't know I feel that I don't understand something...
I have read about the vector database too, in these case I need to make one vector database with the data that I have?
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How to train an AI with data?
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