Essential NLP Basics: Prerequisites for LLMs & Generative AI for beginner

Welcome to our comprehensive introduction to NLP (Natural Language Processing) — the essential foundation for mastering Large Language Models (LLMs) and Generative AI!
In this video, we’ll dive deep into the basics of NLP and explore the core concepts, applications, and tools that drive AI-powered text processing and generation.

Topics Covered:
1. Intro to NLP & Real-World Applications
- Explore key NLP applications like Chatbots, Sentiment Analysis, and Search Engines, and see how NLP powers some of today’s most transformative tech.

2. NLP Project Workflow
- Understand the end-to-end workflow for NLP projects, from data preprocessing to model deployment.

3. Popular NLP Libraries
- Discover essential NLP libraries: NLTK, SpaCy, TextBlob, Gensim, and Scikit-Learn— and learn when to use each for specific NLP tasks.

4. Key NLP Techniques
- Tokenization: Splitting text into words or phrases for easier analysis.
- Stemming & Lemmatization: Reducing words to their base or root forms.
- Part-of-Speech Tagging: Identifying parts of speech in sentences.
- Named Entity Recognition (NER): Recognizing entities like names, places, and organizations within text.

5. Text Classification
- Learn how to classify text into categories using Scikit-Learn, a critical step in sentiment analysis and spam detection.

6. Text Vectorization
- Explore vectorizers like TF-IDF to transform text data into numerical format for machine learning models.

7. Topic Modeling with Gensim & SpaCy
- See how to extract and analyze key topics in large text corpora, perfect for summarizing and organizing information.

8. Word Embedding with Word2Vec
- Learn about Word2Vec to capture relationships between words and create meaningful vector representations for advanced NLP applications.
This video is perfect for beginners who want to build a solid foundation in NLP before diving into the world of **Large Language Models (LLMs)** and Generative AI. Whether you're a student, developer, or AI enthusiast, you’ll gain essential skills and hands-on techniques to advance in the field of NLP.

Don’t forget to like, subscribe, and hit the notification bell for more AI & NLP tutorials!
Video Content:
00:00:00 Introduction
00:01:40 Basic about NLP application
00:02:20 NLP project workflow
00:04:37 NLP Libraries like NLTK, Spacy, Textblog, Gensim, Scikit learn
00:06:40 Tokenization
00:07:47 Stemming
00:08:45 Lemmatizations
00:11:17 Part of speech taging
00:12:05 Text Classification
00:18:22 Named Entity Recognition
00:21:40 Sentiment Analysis
00:23:40 Topic Modeling
00:26:15 Word Embedding

Видео Essential NLP Basics: Prerequisites for LLMs & Generative AI for beginner канала Devvrat Rana