Fine tuning pipeline for open-source LLMs

This is Lesson 1 of the Hands-on LLM Course, a FREE hands-on tutorial where you will learn, step-by-step, how to build a financial advisor, using LLMs and following MLOps best practices. This course is not about building a demo inside a Jupyter notebook, but a fully working app, using the

How to Successfully Run a LLM Fine-Tuning Project: My Personal Insights on Choosing the Right Methods and Techniques, by Yanli Liu

Augmenting LLMs: Fine-Tuning or RAG? - by Damien Benveniste

Let's build a real-world LLM app in 11 minutes

Paul Iusztin on LinkedIn: #mlops #content #learning #ml #data #ml #mlops

Fine-Tuning an Open Source LLM in SageMaker with W&B

Large language models (LLMs): what, why, how?

Fine tuning pipeline for open-source LLMs

Understanding RAG and fine-tuning of LLMs, by Ashok Poudel

Augmenting LLMs: Fine-Tuning or RAG? - by Damien Benveniste

The LLM Triad: Tune, Prompt, Reward - Gradient Flow

Emerging Architectures for LLM Applications

Fine Tuning Open Source Large Language Models (PEFT QLoRA) on Azure Machine Learning, by Keshav Singh

Best Open Source LLMs of 2024 — Klu

LLM Fine-tuning: Old school, new school, and everything in between - Fuzzy Labs