Llm_engineering

Visit Tool

llm_engineering is an Open Source Research & Education tool that provides a GitHub repository for a mastering LLM engineering course. It offers hands-on projects and resources for building AI engineering skills.

Claim this tool

2Views

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is llm_engineering?

The llm_engineering GitHub repository accompanies a comprehensive 8-week course designed to help users master LLM engineering. It provides all the necessary code and resources for hands-on projects, building expertise week by week. The course emphasizes learning by doing, encouraging users to run code, inspect objects, and tweak solutions. It covers topics from installing Ollama and running local LLMs to building powerful autonomous Agentic AI solutions. The repository also includes guides for environment setup, managing API costs, and utilizing platforms like Google Colab for GPU-accelerated tasks. Users can contribute their solutions via Pull Requests, fostering a community of learners.

Best used for

Ideal for individuals who need to gain practical experience in LLM engineering, build complex AI projects, and understand the nuances of working with large language models. Especially valuable for those seeking a structured, hands-on learning path with guidance on tools like Ollama and Google Colab.

Common actions

learn LLM engineering

build AI projects

master LLM concepts

develop Agentic AI

practice coding skills

face swappinglow-code/no-codegithub copilotopen-sourceworkflowscollaborationdeepfakeautomated workflow"AI Agents"

Capabilities

Key features

8-week course structure
Hands-on LLM projects
Ollama integration
Google Colab support
API cost guidance
Agentic AI solution

Target Audience

developersmachine learning engineersai researchersstudents

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of projects are included in the LLM engineering course?

The course includes a variety of hands-on projects that build on each other, culminating in a powerful autonomous Agentic AI solution in Week 8. Projects range from initial Ollama setups to more complex applications, designed to deepen expertise each week.

Are there any costs associated with using the course materials?

The course materials themselves are open source and free. However, optional API costs may be incurred for using leading frontier models from providers like OpenAI or Anthropic, though alternatives and cost-saving tips are provided to keep expenses minimal.

Can I contribute my own code or solutions to the repository?

Yes, the course encourages users to submit Pull Requests with their code and solutions. This allows for sharing progress with the community and provides an opportunity for contributors to be recognized on GitHub for their contributions to the repository.

Trending

Subcategories trending in Research & Education

Academic Research Study Assistants Knowledge Management Scientific Computing Summarization Language Learning

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce