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Resources to get started with Large Language Models (LLMs)

  • To be clear, this is not a roadmap for getting started with LLMs.
  • I am not covering the books you should study, university studies, certificates, etc.
  • I assume you have basic understanding of NLP stuffs, programming knowledge ( mainly Python and Maths ).
    • You might argue, why Maths as everything is automated. Well, well, behind the scene, almost everything is Maths 🧠 )
    • Calculus, Probability, Linear Algebra
    • You need to know, Lets say what is matrix, how dot product works, etc etc.
  • These are some of the resources which I suggest you to get started.
  • After knowing the basics and how things work, it's upon you, what to do ( Or lets say if it's your cup of tea / coffee or not )

Remember one thing, using LLMs and implementing are two different things, you need not necessary know how to implement, but you need to know how to use it in right way.

Videos in Neural Networks and LLMs


Free Courses


Prompt Engineering


Frameworks which I have explored untill now, there are many, you can give a try ( your world, your rules )


Google, Microsoft and AWS has their own courses ( you can pick the one where you want to start)

OpenAI has really good documentation and Cookbook

Youtube ( Free University )

  • There is unlimited knoweledge you can grasp, try to find the best ones and follow them instead of jumping among videos.
  • Main thing is to understand things and try it yourself. Unless you try (practice youself), you won't learn.
  • I have videos on LLMs with playlist on langchain, chainlit and Llamaindex. Many LLMs videos to follow in 2024

Main thing I want to highlight, practice practice and practice, take help with AI assistants 👇

AI Assistants ( Remember, personal use or enterprise use )


Make RAG work properly

  • First, think on tweeking basic stuffs
    • Cleaning document ( choose right parsing , eg. LlamaParse, Unstructured )
    • Better Chunking strategies
    • Choosing right embeddings model
    • Choosing right Vectorstore
    • Passing parsing Instructions, Reranking
    • Choosing right Large Language Models

Links to follow for better understanding.


Important Links Updated ( 22 August 2024 )


Important Links Updated ( 02 September 2024 )


This page will be updated over time. Cheers !!

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