Key Points when Learning Large Language Models (LLMs)

May 21, 2023 16:11 · 361 words · 2 minute read #programming #LLM #AI

Introduction to Building Systems with Large Language Models (LLMs)

In the era of artificial intelligence, Large Language Models (LLMs) have emerged as powerful tools for understanding and generating human-like text. These models, trained on vast amounts of data, can be utilized in a variety of applications, from chatbots to content generation and more. This guide provides a comprehensive overview of the key components involved in implementing LLMs, including the role of users, the function of chatbots, the importance of prompts, and the process of building your own system. Whether you’re a seasoned AI practitioner or a beginner in the field, this guide offers valuable insights into the world of LLMs.


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  • Users: Humans interacting with the system

  • Chatbot:

    • Model: Large Language Models (LLMs) serving as AI translators

      • Examples: Chat GPT4.0, Chat GPT 3.5-turbo, Davinci Code, etc. (see ChatGPT Models)
    • Prompt: Set of syntax/instructions that guide the model’s responses

    • Chain: The sequence of interactions

      • Prompt
      • Previous conversations, if any
      • User queries
      • Data retrieval from the database (the source of truth)
      • Result: Detailed explanations or summaries
  • Database Index: Stores indexed data used by the Chatbot (the source of truth)

    • Examples: Supabase, Pinecone, AWS, Azure, etc.
  • Indexer: Tools for gathering/crawling knowledge

    • We can build our own knowledge crawling or data storing system

The most important aspect: Building our own system

Just directly build our apps is the best way to start learning. Learn LangChain and ChatGPT video from Replit is the best way to start.

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  • Choose a library to load the model or connect to an existing model
  • Build the interaction interface: React, Vue, WhatsApp, Telegram, etc.

Library for LLM

This is the root documentation to interact with LLMs:

Using this resources for kickstart your project:


Learn some best practices and examples: