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

Fine Tuning LLMs to Process Massive Amounts of Data 50x Cheaper than GPT-4 - DEV Community

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Operationalize LLM Evaluation at Scale using SageMaker Clarify and MLOps services

Fine tuning pipeline for open-source LLMs

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John Nay on X: LlamaAcademy: Fine-tuning LLMs to Learn How to Talk to APIs Pipeline: -Crawling -GPT-4 data gen -Fine-tuning Vicuna-13B on synthetic data LLM can then read new API docs (Stripe

Fine tuning pipeline for open-source LLMs

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Effortless Fine-Tuning of Large Language Models with Open-Source H2O LLM Studio, by Parul Pandey, Breaking the Jargons

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

DML: Why & when do you need to fine-tune open-source LLMs? What about fine-tuning vs. prompt engineering?

DML: Why & when do you need to fine-tune open-source LLMs? What about fine-tuning vs. prompt engineering?

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

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