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Mastering NLP from Foundations to LLMs

Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python

GazitMG

Created by Gazit, Meysam Ghaffari

Explore the core principles of Natural Language Processing and large language models using Python. Develop a strong understanding of both foundational math and advanced techniques to solve real-world business challenges. Gain practical experience by designing and implementing NLP systems from the ground up.

Packt | Apr 2024 | 340 min

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LevelExpert
CategoriesLLM Engineering, Natural Language Text Processing and Generation

What You Will Learn

You will start by exploring different types of NLP problems and gradually work through possible solutions for each. Along the way, you will compare various methods, learn their strengths and weaknesses, and apply them using Python. Real-world examples and expert insights help you deepen your understanding as you progress.

Key Features

  • Build NLP and LLM solutions in Python for real-world business applications
  • Apply advanced text preprocessing, classification, and embedding techniques
  • Understand the math and design behind NLP, deep learning, and LLMs

Target Audience

Ideal for machine learning researchers, NLP practitioners, educators, and STEM students with basic Python and ML knowledge. If you work with text data or want to apply NLP and LLMs to solve business problems, you will find practical skills and insights to advance your expertise.

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