nathadriele/llm-zoomcamp
The Zoomcamp LLM Course focuses on tools for working with LLMs and RAG, including OpenAI API, HuggingFace, Elasticsearch, and Streamlit. It covers vector search, embedding creation, data ingestion with Mage, and monitoring using Grafana, emphasizing practical applications and best practices.
This course helps developers learn to build applications powered by large language models (LLMs) and Retrieval Augmented Generation (RAG). It takes raw data and turns it into intelligent systems that can answer questions or generate content based on that data. This is for software developers, data scientists, and ML engineers looking to integrate LLM capabilities into their products.
No commits in the last 6 months.
Use this if you are a developer tasked with building a system that can intelligently respond to user queries or generate content using your organization's specific data.
Not ideal if you are looking for a no-code solution or a guide on how to use existing LLM applications without understanding their underlying architecture.
Stars
8
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 18, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/nathadriele/llm-zoomcamp"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
WangRongsheng/awesome-LLM-resources
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the...
SylphAI-Inc/AdalFlow
AdalFlow: The library to build & auto-optimize LLM applications.
LazyAGI/LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
luhengshiwo/LLMForEverybody
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
katanaml/sparrow
Structured data extraction and instruction calling with ML, LLM and Vision LLM