|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-build-and-deploy-a-llm-chatbot/
课程评论：没有评论
课程名称：生成式人工智能：构建和部署大型语言模型聊天机器人 课程概述：本课程旨在教你如何使用私有数据集构建和部署基于大型语言模型（LLM）的聊天机器人。我们将使用Anthropic的Claude 2 LLM，结合亚马逊Bedrock和Langchain进行实施，并采用RAG（检索增强生成）方法。此外，我还会展示如何用其他LLM（如OpenAI的ChatGPT、GPT-4等）替代Claude 2，以及用其他嵌入模型替代亚马逊Titan文本嵌入。部署方面，我们将利用Gradio进行操作。 这是一个完整的聊天机器人解决方案构建过程，能够在组织内部使用。通过这一生成式人工智能解决方案，可以显著提升组织内部的各项业务，如增强客户支持、简化信息检索、协助新员工的培训和入职、推动基于数据的决策制定、为客户提供定制化见解以及促进知识共享。课程中还涵盖了程序化音频/视频转录的内容，在数据收集步骤中应用，可以用于组织内部的其他用例，如转录音频/视频内容以建立内容推荐模型等。 该课程最适合具备中级至高级Python和数据科学理解能力的学习者。对于初学者，可以随时参与，提出问题。希望大家能享受这个课程并在项目中找到乐趣！
Build and deploy a LLM-based chatbot to answer questions using your private dataset!To build, we will use Anthropic's Claude 2 LLM on Amazon Bedrock and Langchain, with RAG implementation. I'll also show you the code for using other LLMs (OpenAI's ChatGPT, GPT-4, etc.), in place of Claude 2, as well as other embedding models in place of Amazon Titan Text Embeddings. To deploy, we will use Gradio. This is an end to end build of a chatbot solution that can be used within your organization. Use this Generative AI solution to improve things across your organization like; enhance customer support, streamline information retrieval, aid in the training and onboarding of new employees, promote data-driven decision making, customize insights for clients and customers, and enable efficient knowledge sharing.I also cover programmatic audio/ video transcription within the data collection step. This can be applied to other use cases within your organization, outside of the chatbot. E.g. transcribe audio/video content to build content recommendation models, etc.This course is best for those with mid to senior level Python and Data Science understanding. For more beginner levels, feel free to dive in and ask questions along the way. Hopefully you all enjoy this course and have fun with this project!
