GitHub 地址如下: https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_text_to_image/Amazon_JumpStart_Text_To_Image.ipynb?trk=cndc-detail 以上全部代码分为两部分: 预训练模型的部署和运行推理 预训练模型在客户数据集上的微调(Fine-tune) 本章涉及第一部...
部署方式一:使用 Amazon SageMaker JumpStart 进行部署 本节将介绍在 Amazon SageMaker JumpStart 中,如何使用 SageMaker Python SDK 部署 Falcon 40B 开源大模型以生成文本。这个示例包括: 设置开发环境 获取全新 Falcon 40B 的开源大模型的 Hugging Face id 和版本 使用JumpStartModel 函数部署 Falcon 40B 大模型 进行...
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在上一篇《Generative AI 新世界:大型语言模型(LLMs)概述》中,我们一起探讨了大型语言模型的发展历史、语料来源、数据预处理流程策略、训练使用的网络架构、最新研究方向分析(Amazon Titan、LLaMA、PaLM-E 等),以及在亚马逊云科技上进行大型语言模型训练的一些最佳落地实践等。 本期文章,我们将重点讨论动手实践,通过三...
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Create a python virtual environment and activate it: python3 -m virtualenv genai source genai/bin/activate From the root of this repository, GenerativeAIExamples, install the requirements: pip install -r examples/5_mins_rag_no_gpu/requirements.txt Add your NVIDIA API key as an environment vari...
用Flask在Python中开发GenAI Bot 从开发者的角度理解Generative AI的基本概念 了解Prompt Engineering最佳实践 了解不同的提示设计策略 了解如何使用Generative AI Studio设计提示 了解LLM模型参数如何工作 要求 Python基本熟练 描述 欢迎参加“使用Google PaLM API为Python开发人员生成人工智能”课程!你是一名Python开发人员,...
https://github.com/aws/studio-lab-examples/blob/main/generative-deep-learning/stable-diffusion-finetune/Amazon_JumpStart_Text_To_Image.ipynb?trk=cndc-detail 你存放自定义照片的 s3 路径,应该看起来像这样:s3://bucket_name/input_directory/
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