了解PaLM2大型语言模型如何为Bard和Google等生成型人工智能应用程序提供动力;PaLM;API掌握及时的工程最佳实践。利用Generative AI Studio制作适合您需求的提示。将Google Vertex AI PaLM API无缝集成到Python代码中。构建自己的生成人工智能应用程序。不要错过这个独特的机会,利用Generative AI的创造性可能性扩展您的Python开...
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...
compressed_output_query_and_display(payload, "generated image with compressed response type") 采用以字节为单位返回(returned as bytes)后,输出的图像如下图所示: 提示工程 Prompt Engineering 写一个好的提示词,在大模型时代可能是一门艺术。 在给定模型下,通常很难预测某个提示词是否会产生令人满意的图像。不...
What sets Generative AI Foundations in Python apart is Carlos’ unique ability to blend technical depth with practical insights. Each chapter is a testament to his meticulous approach and his commitment to bridging the gap between theoretical concepts and real-world solutions. Interweaving real-world ...
在上一篇《Generative AI 新世界:过去、现在和未来》中,我做为一名曾经多次穿越过市场周期的从业者,对 Generative AI 的发展历程、目前的热点方向、以及对未来的畅想做了一个梳理,希望可以帮助大家理清这个新周期的一些底层逻辑,例如知识底座、应用蓝图、以及发展方向和潜在机遇等方面的内容。
[Deprecated] Google AI Python SDK for the Gemini API With Gemini 2.0, we took the chance to create a single unified SDK for all developers who want to use Google's GenAI models (Gemini, Veo, Imagen, etc). As part of that process, we took all of the feedback from this SDK and what...
google-generativeai == 0.6.0 Here is the code: importosimporttimeimportgoogle.generativeaiasgenaigenai.configure(api_key=os.environ["GEMINI_API_KEY"])defupload_to_gemini(path,mime_type=None):file=genai.upload_file(path,mime_type=mime_type)print(f"Uploaded file '{file.display_name}' as:{...
Eagerness to learn about AI’s role in programming. No prior experience required; just a passion for technology! Access to a computer and internet for software installation. Description: Dive into the world of programming with our comprehensive course “Python Mastery with Generative AI: Coding to...
Learn Generative AI with PyTorchteaches the underlying mechanics of generative AI by building working AI models from scratch. Throughout, you’ll use the intuitive PyTorch framework that’s instantly familiar to anyone who’s worked with Python data tools. Along the way, you’ll master the fundam...
Basic Computer Skills: Familiarity with using a computer and navigating the internet. You need to have an AWS account. A basic understanding of Python is required. Description In this course, you will learn how to build generative AI applications and chatbots using Bedrock, LLMs, LangChain, RA...