sinanuozdemir/quick-start-guide-to-llms
The Official Repo for "Quick Start Guide to Large Language Models"
Covers practical implementations spanning semantic search, RAG pipelines, and agent construction through executable Jupyter notebooks. Includes advanced techniques like fine-tuning with RLHF, knowledge distillation, model quantization, and multimodal systems (VQA), with examples across both proprietary APIs (OpenAI) and open-source models (Llama, BERT, Mistral).
374 stars. No commits in the last 6 months.
Stars
374
Forks
203
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/sinanuozdemir/quick-start-guide-to-llms"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SepineTam/stata-mcp
Let LLM help you achieve your regression with Stata. Evolve from reg monkey to causal thinker.
datawhalechina/code-your-own-llm
一份全栈式大语言模型参考指南，用最简洁的代码帮助你端到端定义模型从零训练到工程落地的每一个细节
leonid20000/odin-slides
This is an advanced Python tool that empowers you to effortlessly draft customizable PowerPoint...
onejune2018/Awesome-LLM-Eval
Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs...
axhiao/QuickNote
Capture what you want with LLM