-
Book Overview & Buying
-
Table Of Contents
Applied Generative AI and Natural Language Processing with Python
By :
Applied Generative AI and Natural Language Processing with Python
By:
Overview of this book
Generative AI and natural language processing are reshaping industries, and this course equips you with the skills to excel in these transformative fields. Beginning with foundational concepts, you'll explore the inner workings of NLP techniques like tokenization, embeddings, and transformers. Through hands-on exercises, you'll grasp how to process, analyze, and model textual data effectively.
As the course progresses, you'll unlock the power of pre-trained models and frameworks like Huggingface to tackle tasks such as sentiment analysis, summarization, translation, and question answering. Delve into advanced topics like vector databases, retrieval-augmented generation, and prompt engineering, learning to design sophisticated, AI-driven systems. Real-world projects, including a climate change chatbot, will cement your practical understanding.
By the end of the journey, you'll be adept at implementing and fine-tuning large language models, mastering tools like the OpenAI API, and applying data augmentation techniques. Whether you're developing AI applications or refining your knowledge in NLP, this course is your gateway to innovation in AI.
Table of Contents (14 chapters)
Course Introduction
NLP Introduction
Apply Huggingface for Pre-Trained Models
Model Finetuning
Vector Databases
OpenAI API
Prompt Engineering
Advanced Prompt Engineering
Retrieval-Augmented Generation (RAG)
Capstone Project "Chatbot"
Open Source LLMs
Data Augmentation
Miscellaneous
Final Section