LLMs Mastery: Complete Guide to Transformers & Generative AI

LLMs Mastery: Complete Guide to Transformers & Generative AI, available at $84.99, has an average rating of 4.46, with 21 lectures, based on 4312 reviews, and has 16950 subscribers.

You will learn about 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.. This course is ideal for individuals who are Those who wish to understand the new world of LLMs, how chatGPT and GPT4 work, and how to build their own powerful language models. It is particularly useful for Those who wish to understand the new world of LLMs, how chatGPT and GPT4 work, and how to build their own powerful language models.

Enroll now: LLMs Mastery: Complete Guide to Transformers & Generative AI

Summary

Title: LLMs Mastery: Complete Guide to Transformers & Generative AI

Price: $84.99

Average Rating: 4.46

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 21

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

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..

Who Should Attend

Those who wish to understand the new world of LLMs, how chatGPT and GPT4 work, and how to build their own powerful language models.

Target Audiences

Those who wish to understand the new world of LLMs, how chatGPT and GPT4 work, and how to build their own powerful language models.

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.

Ready to dive into the world of Generative AI and Transformers

Enroll today and start your journey to mastery!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Getting Started: How to Make the Best Use of this Course

Lecture 1: Course Structure: How to get the Most out of this Course

Lecture 2: Environment Setup: Prepare and Use the Resource of this Course Right

Chapter 3: Overview of Natural Language Processing: Bring Transformers into Perspective

Lecture 1: Rule-Based Systems Era

Lecture 2: Statistical Era

Lecture 3: Machine Learning Era

Lecture 4: Embeddings Era

Chapter 4: Transformers Introduction: Important Concepts and Use-cases

Lecture 1: Encoders, Decoders and The Attention Mechanism

Lecture 2: Pre-training & Fine-tunning

Lecture 3: Tokenisation & Embeddings

Chapter 5: Popular Transformers Models: Choose the Best Model for the Job

Lecture 1: BERT

Lecture 2: GPT

Lecture 3: T5

Chapter 6: Using Transformers: Building Blocks and Hidden Gems (Practical)

Lecture 1: Building Blocks

Lecture 2: Tokenizers

Lecture 3: Word Embeddings

Lecture 4: Masked Language Modeling (MLM)

Lecture 5: Semantic Search Index

Chapter 7: Mastering Real-World Scenarios with Transformers and LLMs (Practical)

Lecture 1: BERT (Encoder-model) for Extractive Question Answering

Lecture 2: GPT (Decoder-model) for Instruction Following

Lecture 3: T5 (Encoder-Decoder-model) for Writing Product Reviews

Instructors

The Fuzzy Scientist
Instructor at Udemy.

Rating Distribution

1 stars: 21 votes
2 stars: 83 votes
3 stars: 484 votes
4 stars: 1717 votes
5 stars: 2007 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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