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
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Digital Marketing Foundation Course
- Google Shopping Ads Digital Marketing Course
- Multi Cloud Infrastructure for beginners
- Master Lead Generation: Grow Subscribers & Sales with Popups
- Complete Copywriting System : write to sell with ease
- Product Positioning Masterclass: Unlock Market Traction
- How to Promote Your Webinar and Get More Attendees?
- Digital Marketing Courses
- Create music with Artificial Intelligence in this new market
- Create CONVERTING UGC Content So Brands Will Pay You More
- Podcast: The top 8 ways to monetize by Podcasting
- TikTok Marketing Mastery: Learn to Grow & Go Viral
- Free Digital Marketing Basics Course in Hindi
- MailChimp Free Mailing Lists: MailChimp Email Marketing
- Automate Digital Marketing & Social Media with Generative AI
- Google Ads MasterClass – All Advanced Features
- Online Course Creator: Create & Sell Online Courses Today!
- Introduction to SEO – Basic Principles of SEO
- Affiliate Marketing For Beginners: Go From Novice To Pro
- Effective Website Planning Made Simple