掌握NLP与大型语言模型（LLM），在2小时内用Python从零构建并部署类似ChatGPT的AI聊天机器人。课程涵盖情感分析、命名实体识别及Llama 3.1等开源模型实战。
原始标题：The NLP & LLM Crash Course – Build your AI Chatbot Quickly
Published 10/2024
Created by Yersel Hurtado
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 Lectures ( 1h 42m ) | Size: 631 MB
Master NLP and Large Language Models (LLM): Build and deploy your own ChatGPT-like chatbot with Python in record time.
What you’ll learn:
Understand how NLP & LLMs and their architecture work
Implement Sentiment Analysis models
Implement Named Entity Recognition (NER) models
Implement Question-Answering models
Learn how to provision your own space with a GPU
Learn how to create a chatbot interface
Learn how to create your own AI chatbot from scratch in just 2 hours
Learn how to use Open Source models like Llama 3.1, BERT, and others
Requirements:
Basic Knowlegde of Python
Description:
Master NLP and Large Language Models (LLM): Build and deploy your ChatGPT-like chatbot with Python in record time.Would you like to dive into artificial intelligence and create your own chatbot in just 2 hours? This is possible with our intensive course on NLP & LLM and Generative AI. We will teach you from scratch what a Large Language Model (LLM) is and how to leverage its power to develop innovative applications.What You’ll Learn:Natural Language Processing (NLP) & Large Language Models (LLMs): Understand the architecture and inner workings of LLMs like GPT.Transformers Library: Harness pipelines for sentiment analysis and entity recognition—key skills in natural language processing.AutoClass Models: Get hands-on with AutoModel and AutoTokenizer to build question-answering systems.Advanced Environments: Set up GPU configurations and create authentication tokens to work with sophisticated AI models.Build a User Interface for the Chatbot: Create an intuitive chat-style interface to test your chatbot.Open Source Models: Learn how to choose the right model based on the specific task at hand.Chatbot Development: Build the chat logic, design an engaging user interface, and deploy your very own LLM-powered chatbot.What You Need:All you need is a basic knowledge of Python and a computer to start building your own chatbot.
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