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MCP server · AI

LLM Resources

by · github.com/sudarshan-koirala/llm-resources

Repo that contains resources to learn or get started with Large Language Models (LLMs) and AI in General

Unclaimed MIT last commit 7 months ago ai
InstallView source
66Good

Scored yesterday · breakdown

About LLM Resources

LLM Resources is an MCP server published by sudarshan-koirala in the AI category: repo that contains resources to learn or get started with Large Language Models (LLMs) and AI in General.

The repository has 77 stars and 26 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/sudarshan-koirala/llm-resources

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository yesterday. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

1 check has not been run yet.

README

Hello 👋, this is live-in document, might be updated as you are reading this 😎🧠
Update June 2025: Decided to create a file for each month to organize the resources.

Resources to get started with Large Language Models (LLMs)

My Youtube Channel

  • 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 )

AWS

RAG and Agents

LLM Docs

Model Context Protocol

Leaked System Prompts

Cheers !! Last Updated: February 2025

README fetched from the repository yesterday. The original is authoritative.

Questions

About LLM Resources

How do I install LLM Resources?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is LLM Resources safe to use with an AI agent?

Its trust score is 66 out of 100 (good). It passes 2 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is LLM Resources still maintained?

The last commit was 7 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.