为代码定制 Llama 模型（由 Meta 赞助）.pdf

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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.DVT336-SCustomizing Llama models for codeHigh-performance tools that enhance productivity and accu

2、racy 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Eissa JamilAI Partner Engineer,MetaHe/Him 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.This session empowers developers to build high-perfo

3、rmance tools that enhance coding productivity and accuracy.Key takeaways:Learn challenges of adapting LLMs to code tasks.Understand data preparation,model training,and accurate evaluation.Discover Llama deployment strategies on AWS.Explore real-world use cases.Customizing Llama models for codeTodays

4、 learning agendaPre-presentation anonymous surveyOne question:5 seconds to complete 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Llama as an open source foundation unlocks a world of possibilities,with organizations customizing it for their use case.Multi-document summarization

5、Content creationEducation and learningResearch assistanceLanguage translationPersonal assistanceReasoning over vast codebasesParse extensive user activity for personalized tasksLlamaMultimodal 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Llama models unlock control and customiz

6、ationLlama 1 FEB 23Llama 2 JUL 23DEC 24Llama 3.3Code Llama Purple LlamaAUGDEC 23Llama 3APR 24Llama 4APR 25JUL 24Llama 3.1SEP 24Llama 3.2Llama StackOpen source enables:Deployment flexibilityFine tuningModel distillation1B+Hugging Face downloads200Kderivative models 2025,Amazon Web Services,Inc.or its