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Best way to prompt chatbots and how to train it as a beginner

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I want to know how i can train my own llm to have a certain knowledge about a skill or niche eg: if i want a chatbot that talks to people to recovering addicts about their addiction. i want to train it so it knows how to talk to such a person in a way that is suited best for people that want to stop their addiction. after that i want to use that llm and create personalised chatbots using prompts for each individual.

so an LLM-> trained to my liking and needs -> set up chat bots for each individual person and with each their own prompts and character.

what are the best tools to make this.
 
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Hi fahd13,

Training a language model to have specific knowledge can be rewarding. Start with a pre-trained model like GPT-4o and fine-tune it with relevant data. Experiment with prompts to guide responses. Platforms like Dialogflow or Rasa can help build and deploy chatbots. Test and refine your chatbot to improve performance. Good luck with your project! Feel free to ask if you have any questions.
 
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Hey! That’s an awesome idea — creating a chatbot that supports recovering addicts in a personalized way sounds super meaningful.


Here’s a basic approach to get started:


  1. Start with an existing LLM – You don’t need to train one from scratch (that’s very expensive). Use models like OpenAI’s GPT-4, Meta’s LLaMA, or Mistral.
  2. Use “fine-tuning” or “RAG” – You can either fine-tune the model with expert conversations about addiction recovery or use RAG (retrieval augmented generation) to feed it helpful documents dynamically.
  3. Create personalized chatbots with prompting – You can build each bot’s personality and focus just by adjusting the prompt. Tools like LangChain, LLM Studio, or Flowise help you structure this easily.

To wrap it up: you use a powerful base model, teach it your tone + content, then customize each bot with smart prompts.
 
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