Large-Language-Model-Notebooks-Course
Practical course about Large Language Models
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
A developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face.
Good fit when
- You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries.
- You want to understand both foundational technologies and their enterprise-level implications in corporate settings.
Avoid when
- Seeking a complete, finalized course where all content is available for immediate use without future updates.
- Looking exclusively for theory; the course emphasizes practical application over theoretical depth.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (114d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/peremartra/Large-Language-Model-Notebooks-CourseHow it fits your stack(8)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Hands-on projects for engineers, researchers, and developers using LLMs with GPT, LangChain, and Hugging Face.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Sep 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
Engineers, Researchers and Developers using Large Language Models, GPT, LLaMA, LangChain and Hugging FaceSource link
Source: README excerpt (regex_v1, Sep 20, 2026)
cs and technologies covered in this section include: Chatbots, Code Generation, OpenAI API, Hugging Face, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, SoftSource link
Tags
README
Build with LLMs: Hands on Projects for Engineers, Researchers and Developers using Large Language Models, GPT, LLaMA, LangChain and Hugging Face <table <tr <td width="130" <a href="https://amzn.to/4eanT1g" <img src="https://github.com/peremartra/Large Language Model Notebooks Cou...
For agents
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