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Intro:
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Gradient Intro:
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Technical Overview:
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Open-Source Model:
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Gradient Workspace:
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Fine-tuning:
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Brief Explanation of LoRA:
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Hyper-parameters:
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Testing fine-tuned model:
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Testing RAG pipeline:
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Outro:
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the development of a custom RAG pipeline using a fine-tuned, 13B parameter open-source model that mimics Yoda's speech style in this comprehensive tutorial video. Discover valuable engineering tips for deploying fine-tuned models within RAG pipelines and learn efficient model fine-tuning techniques using Gradient's platform. Gain insights into the technical overview, open-source model selection, Gradient workspace setup, fine-tuning process, LoRA explanation, hyper-parameter optimization, and testing of both the fine-tuned model and RAG pipeline. Access complementary resources including a blog post, GitHub repository, and additional learning materials to deepen your understanding of AI, Data Science, and Large Language Models.

Custom RAG Pipelines and LLM Fine-Tuning - A Gradient Tutorial

Data Centric
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