Building Powerful Large Language Models with Anthropic Claude 3.5 Generative AI Capabilities. Hands on Projects 评分:4.8,满分 5 分4.8(9 个评分) 143 个学生 创建者Arun Prakash 上次更新时间:7/2024 英语 英语[自动] 您将会学到 Master the Anthropic Claude 3.5 Python API: Learn to harness AI for ...
Python is a programming language that has become the backbone of modern AI andmachine learning. It provides the perfect mix of simplicity and power, making it the go-to choice for AI research, deep learning, and Generative AI. Python plays a crucial role in enabling machines to generate human...
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 ...
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...
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
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,希望在不深入研究机器学习和数据科...
Google AI Python SDK for the Gemini API Important From Gemini 2.0 onwards this SDK will no longer be developing new features. Any new code should be written using the new SDK, google-genai (github, pypi). See the migration guide below to upgrade to the new SDK. Upgrade the Google GenAI...
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...
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. ...
This book is for developers, data scientists, and machine learning engineers embarking on projects driven by generative AI. A general understanding of machine learning and deep learning, as well as some proficiency with Python, is expected.