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?

Hey guys! I'm so excited to announce that my brand-new LangChain Masterclass for Beginners is now live on YouTube! In this video, you'll master Chat Models, Chains, RAG, Agents, Tools, and more. This masterclass combines everything you need to know about LangChain into an easy-to-follow guide so that you can build powerful AI applications and streamline your workflow. Why You Shouldn't Miss This: - Made for All Skill Levels: We'll start from the basics and build up to more advanced topics, ensuring you have a solid foundation. By the end, you'll be able to create AI agents, build RAG chatbots, and automate tasks with chains. - Real Code Examples: I've packed this masterclass with over 20 code examples using the latest version of LangChain. You can follow along step-by-step and see exactly how everything fits together. Don’t wait! Click the link below to watch the LangChain Masterclass and start building your own AI projects today. I'm really looking forward to seeing the amazing things you'll create with LangChain. If you have any ideas or suggestions for future videos, please drop them below! Best, Brandon Hancock 🥂🧑‍💻 P.S. Because you guys are awesome, here's a link to the source code ❤️ https://github.com/bhancockio/langchain-crash-course