AI Infrastructure · GitHub ·556 ★

LLM-Zero-to-Hundred

This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.

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Details

Author
Farzad-R
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
jupyter notebook
Stars
556
First indexed
2026-05-15
Last active
2026-01-06
Directory sync
2026-05-15
@Farzad-R

Overview

This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.

Quick start

git

git clone https://github.com/Farzad-R/LLM-Zero-to-Hundred

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What LLM-Zero-to-Hundred can do

llmrag
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is LLM-Zero-to-Hundred?
This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.
How do I install LLM-Zero-to-Hundred?
Use git: `git clone https://github.com/Farzad-R/LLM-Zero-to-Hundred`. Full setup details on the source page linked above.
Is LLM-Zero-to-Hundred open source?
LLM-Zero-to-Hundred is published on GitHub.
What are alternatives to LLM-Zero-to-Hundred?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for LLM-Zero-to-Hundred is sourced from GitHub, published by Farzad-R.

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