souzatharsis/tamingLLMs

Taming LLMs: A Practical Guide to LLM Pitfalls with Open Source Software

40
/ 100
Emerging

This guide helps technical leaders and engineers building applications with Large Language Models (LLMs) understand and overcome common challenges. It takes the typical focus on LLM capabilities and balances it with a deep dive into practical limitations and implementation pitfalls. You'll gain insights into common problems with LLMs and learn how to apply open-source solutions using practical Python examples.

340 stars. No commits in the last 6 months.

Use this if you are developing LLM-powered applications and need to understand the practical challenges and how to address them with open-source tools.

Not ideal if you are looking for a high-level overview of LLM capabilities without delving into the specifics of implementation problems.

AI application development Machine learning engineering LLM deployment AI project management Software architecture
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

340

Forks

29

Language

Jupyter Notebook

License

Last pushed

Feb 05, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/souzatharsis/tamingLLMs"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.