LLMs Mastery: Complete Guide to Transformers & Generative AI

Generative AI, LLMs, ChatGPT, GPT4, Production-Level, Encoder-Decoders, T5, GPT2, BERT, Machine Learning, Data Science

Instructor:

The Fuzzy Scientist

5٬858 students enrolled

English [Auto]

Grasp NLP Fundamentals: Understand the evolution and key concepts of Natural Language Processing, from rule-based systems to the deep learning era.

Master Transformers: Learn the architecture and application of Transformers in depth. Including tokenization, embeddings, pre-training & fine-tunning.

Understand the principles behind Generative AI: Get familiar with building and tweaking generative models for any real-world use case.

Utilize Transformer Models: Overview LLMS and Encoder-Decoder models like BERT, GPT, and T5 in various NLP tasks.

Develop practical, useful and production ready NLP tasks: Build personal assistants, model for writing product reviews and answering questions..

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: