Library/llama-cookbook
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meta-llama/llama-cookbook

llama-cookbook

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

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Meta

Meta

meta-llama • big-tech

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Created

Jul 17, 2023

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README Summary

The Llama Cookbook is a comprehensive guide for building applications with Meta's Llama language models. It provides tutorials and examples covering inference, fine-tuning, and Retrieval-Augmented Generation (RAG) implementations. The cookbook demonstrates end-to-end solutions using the Llama model family across various cloud provider services.

AI Dev Skills

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Large Language Model InferenceModel Fine-tuningRetrieval-Augmented GenerationTransformer ArchitectureParameter-Efficient Fine-tuningPrompt EngineeringModel DeploymentCloud ML ServicesNatural Language Processing

Tags

Large Language Model InferenceModel Fine-tuningRetrieval-Augmented GenerationTransformer ArchitectureParameter-Efficient Fine-tuningPrompt EngineeringModel DeploymentCloud ML ServicesNatural Language ProcessingMulti-provider Model ServingFoundation Model DeploymentDocument Question AnsweringSelf-hostedCustom Model Fine-tuningConversational AI SystemsLarge Language Model DeploymentTextLarge Language ModelsCloud APIMulti-cloudKnowledge Base IntegrationJupyter Notebook

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Recent Activity

Updated 1 months ago

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production
Quality
high
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production

Categories

Dev Tools & AutomationPrimaryEvals & BenchmarkingInference & ServingNLP & TextCoding & Dev ToolsData Science & AnalyticsEdge & Mobile AIRAG & RetrievalAI AgentsModel TrainingOther AI / MLSearch & KnowledgeFoundation Models

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Jupyter Notebook100.0%

Timeline

Project created
Jul 17, 2023
Forked
Mar 22, 2026
Your last push
1 months ago
Upstream last push
12 days ago
Tracked since
Mar 3, 2026

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