Welcome to "LLMs Mastery: Complete Guide to Generative AI & Transformers"!

This comprehensive guide is designed to equip you with the knowledge and skills to build efficient, production-ready AI models using cutting-edge technologies.

Key Topics Covered:

• Generative AI: Understand the principles and applications of Generative AI in creating new data instances.

• ChatGPT & GPT4: Dive into the workings of advanced AI models like ChatGPT and GPT4.

• LLMs: Learn about Language Models (LLMs) and their role in understanding and generating human-like text.

• Encoder-Decoders: Master the concept of encoder-decoder models in the context of Transformers.

• T5, GPT2, BERT: Get hands-on experience with popular Transformer models such as T5, GPT2, and BERT.

• Machine Learning & data: Understand the role of machine learning and data in training robust AI models.

What You Will Learn:

Natural Language Processing Basics

• ️ Journey through the evolution of NLP, from the Rule-Based Systems Era to the Embeddings Era.

• ️ Lay a solid foundation in NLP for more advanced topics.

Introduction to Transformers

• Learn about the architecture of Transformer models, including attention mechanisms, encoders, and decoders.

• ️ Understand pre-training and fine-tuning strategies.

• Explore tokenization and embeddings, critical components of Transformer models.

Popular Transformer Models

• Dive into popular Transformer models: BERT (encoder-only), GPT (decoder-only), and T5 (encoder-decoder).

• Gain deeper insights into the capabilities and potential of Transformer technology.

Using Transformers (Practical)

• Get hands-on experience with Transformer models in real-world applications.

• Master tokenization, embeddings, and masked language models (MLMs).

• Build a Semantic Search Index project.

NLP Tasks and Applications (Practical)

• Learn how to use BERT for extractive question answering, GPT for building a personal assistant, and T5 for writing product reviews.

• Experience the practical applications of NLP tasks.

Who This Course Is For:

• ‍ Perfect for anyone interested in AI, machine learning, and data science.

• Ideal for both seasoned professionals and curious beginners.