Fine tuning pipeline for open-source LLMs

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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

Instruction-tune models using your own data with txtinstruct, by David Mezzetti, NeuML

Fine-tuning pipeline for open-source LLMs (Part 2)

Testing LLMs with Giskard and MLOps best practices

Building an LLMOPs Pipeline. Utilize SageMaker Pipelines, JumpStart…, by Ram Vegiraju

Introducing Lamini, the LLM Engine for Rapid Customization

Local small models // run on device, fine-tuned by large ones, by sbagency, Dec, 2023

03 Create baseline model

Welcome to the Hands-on LLM Course 🤗

Which is better, retrieval augmentation (RAG) or fine-tuning? Both.

Paul Iusztin on LinkedIn: #machinelearning #designpattern #mlops

Welcome to the Hands-on LLM Course 🤗

How to deploy ML models to production

LLMOps: Operationalizing Large Language Models (LLMs), by Tarapong Sreenuch

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