Generative AI 新世界 | 文生图领域动手实践:预训练模型的部署和推理 在上期文章,我们探讨了文生图(Text-to-Image)方向的主要论文解读,包括:VAE、DDPM、DDIM、GLIDE、Imagen、UnCLIP、CDM、LDM 等主要扩散模型领域的发展状况。 本期我们将进入动手实践环节,我会带领大家使用 Amazon SageMaker Studio、Amazon SageMaker ...
在上期文章,我们探讨了如何在自定义数据集上来微调(fine-tuned)模型。本期文章,我们将重新回到文本生成的大模型部署场景,探讨如何在 Amazon SageMaker 上部署具有 400 亿参数的 Falcon 40B 开源大模型。 亚马逊云科技开发者社区为开发者们提供全球的开发技术资源。这里有技术文档、开发案例、技术专栏、培训视频、活动与...
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首先是安装generativeai库,此库可以直接跟Gemini模型沟通,且模型无需下载到本地,我们就可以使用API接口来调用。 import pathlib import textwrap import google.generativeai as genai from IPython.display import display from IPython.display import Markdown def to_markdown(text): text = text.replace('•', ...
In this course, AI-powered Python Applications: Building APIs for Generative AI Models, you'll harness the power of AI in production environments. First, you'll dive into creating REST APIs that effectively serve generative AI models, such as text generation, summarization, and data enrichment. ...
本章中呈现的所有代码片段都可以直接在 Google Colab 中运行。由于篇幅原因,未包含依赖项的导入语句,但读者可以参考 GitHub 存储库获取完整的代码:github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2。 在我们深入建模方面之前,让我们先了解如何表示文本数据。
你是一名Python开发人员,希望在不深入研究机器学习和数据科学复杂性的情况下,在应用程序中利用Generative AI的力量吗?如果是这样的话,这门课程就是为你量身打造的!在本综合课程中,您将了解如何将Google的Vertex AI PaLM API的高级Generative AI功能无缝集成到Python代码中。由开发人员设计,对于开发人员来说,我的目标...
( Large Language Models ) in a local environment. From getting started with AI and experimenting with models and prompts to model serving and playgrounds for common generative AI use cases, Podman AI Lab enables you to quickly integrate AI into your applications without depending on infrastructure ...
Build Python scripts, web applications, and data analysis projects using the power of Generative AI tools, such as ChatGPT and GitHub Copilot Grasp the fundamentals of prompt-engineering for different development situations, enabling you to generate code that meets your requirements. Perform data mani...
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