Applied Generative AI and Natural Language Processing with Python
Год выпуска: April 2024
Производитель: Published by Packt Publishing via O'Reilly Learning
Сайт производителя:
https://learning.oreilly.com/course/applied-generative-ai/9781836206330/
Автор: Bert Gollnick
Продолжительность: 9h 20m
Тип раздаваемого материала: Видеоурок
Язык: Английский + субтитры
Описание:
Delve into the expansive field of Natural Language Processing (NLP) through a structured journey that starts with the basics and advances to complex real-world applications. Begin by setting up your development environment, understanding essential tools, and getting familiar with the course resources. As you progress, you will explore foundational NLP techniques like text classification and sentiment analysis, and learn to manipulate and analyze text data effectively. The course emphasizes practical application, guiding you through the creation and management of vector databases, and the implementation of state-of-the-art models like Huggingface's Transformers.
The curriculum includes detailed sections on innovative NLP strategies such as prompt engineering and chain-of-thought reasoning, equipping you with the skills to tackle advanced problems in text processing. Each concept is broken down into comprehensible modules, ensuring you can build and fine-tune machine learning models that enhance the capabilities of NLP applications. By the end of this course, you'll have mastered the tools and techniques to not only execute complex NLP tasks but also to implement these solutions effectively in your professional projects, contributing to your growth as a data-driven decision-maker in the tech industry.
What you will learn
• Set up an NLP-ready environment with necessary tools and libraries.
• Utilize Huggingface's Transformers for state-of-the-art text processing.
• Develop proficiency in managing and querying vector databases.
• Fine-tune and deploy machine learning models for custom NLP tasks.
• Apply pre-trained models for text classification, entity recognition, and more.
• Master advanced NLP techniques like prompt engineering and chain-of-thought prompts.
Содержание
Chapter 01 Course-Introduction
Chapter 02 NLP-Introduction
Chapter 03 Apply Huggingface for Pre-Trained Models
Chapter 04 Model Finetuning
Chapter 05 Vector Databases
Chapter 06 OpenAI API
Chapter 07 Prompt Engineering
Chapter 08 Advanced Prompt Engineering
Chapter 09 Retrieval-Augmented Generation (RAG)
Chapter 10 Capstone Project Chatbot
Chapter 11 Open Source LLMs
Chapter 12 Data Augmentation
Chapter 13 Miscellaneous
Chapter 14 Final Section
Файлы примеров: отсутствуют
Формат видео: MP4
Видео: AVC, 1920x1080, 16:9, 30.000 fps, 3 000 kb/s (0.017 bit/pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR
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