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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-ai-models-with-hands-on-google-colab-projects/
课程评论：没有评论
课程名称：掌握AI模型与实操Google Colab项目 课程概述： 该课程专注于使用Google Colab平台进行各种AI模型的实际应用，通过一系列实践项目，学员将深入了解如何高效利用这些模型。课程内容涵盖以下几个主要模块： 1. **Google Colab的使用**： - 如何创建Google Colab项目 - 如何在Colab上运行Python项目 - GPU选择与文件操作（包括使用外部文件与Google Drive文件） 2. **文本翻译**： - 使用NLLB模型进行多语言翻译，从德语翻译成英语，支持200多种语言的输入和输出。 3. **问答系统**： - 基于FaQ文本文件，使用Llama 3模型和Mistral-7B模型回答问题。 - 使用GPT-2模型处理基于JSON文件的公司信息问答。 4. **图像生成与识别**： - 使用Stable Diffusion模型根据文本生成图像。 - 使用GPT-4o模型识别图像内容并提供雕塑信息。 5. **声音和视频生成**： - 使用Bark模型根据提供的声音生成语音文件。 - 使用text-to-video-ms-1.7b模型将文本描述转换为视频。 6. **深度学习和多智能体系统**（附加内容）： - 使用Janus-1.3B模型生成图像描述。 - 建立一个AI多智能体系统，使用ReAct、LlammaIndex与OpenAI技术，根据两个PDF文件回答问题。 该课程旨在通过实操项目强化学员对AI模型的理解与应用能力，为其在人工智能领域的职业发展打下坚实基础。
Table of ContentsHow to use Google ColabTranslation text use NLLB ModelQnA with Llama 3 Model and Mistral-7B Model based on FaQ QnA with GPT-2 Model based on a JSON FileImage Generation with Stable Diffusion ModelImage Recognition with GPT-4o ModelVoice Generation with Bark ModelText to Video with text-to-video-ms-1.7b ModelBonusDeepseek: Describe Image with Text Using the Janus-1.3B ModelAI Multi-Agent: Building an AI Multi-Agent for Q & A on Two PDFs using ReAct, LlammaIndex, and OpenAIDescriptionHow to use Google ColabHow to create a Google Colab projectHow to run a python project on ColabHow to choose GPUHow to use external File on ColabHow to use file from Google Driver on ColabHow to use Hugging Face token and ChatGPT token from ColabTranslation text use NLLB ModelBased on a text in german, using NLLB Model we can translate it to english. NLLB Model supports for more than 200 languages as input and output.QnA with Llama 3 Model and Mistral-7B Model based on FaQ An FaQ text file was prepared, by using Llama 3 Model or Mistral-7B Model, questions about this FaQ file can be raised and the Chatbot will give answer based on the FaQ file.QnA with GPT-2 Model based on a JSON FileInformation about a dummy company profile was prepared in a json file, by using GPT-2 Model, the Chatbot will give answer based on the company profile, if related question is raised. Image Generation with Stable Diffusion ModelBased on text, an image will be generated by using stable diffusion model.Image Recognition with GPT-4o ModelGiven a image of a Sculpture, using GPT-4o model, it will tell you what is inside the image and give you information about the sculpture. Voice Generation with Bark ModelBased on the voice you provide, the Bark model tries to generate a voice file for text snippets.Text to Video with text-to-video-ms-1.7b ModelGiven a text description about a scenario, the text-to-video-ms-1.7b will generate a video for you.Bonus Deepseek: Describe Image with Text Using the Janus-1.3B ModelGiven an image, the Janus-1.3B Model will generate a description of this image for you.AI Multi-Agent: Building an AI Multi-Agent for Q & A on Two PDFs using ReAct, LlammaIndex, and OpenAIGiven two PDFs, ReActAgent AI Agent will use the correct one depending on the prompt to answer questions
