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| File Name: | LLMs Mastery: Complete Guide to Transformers & Generative AI |
| Content Source: | https://www.udemy.com/course/llms-mastery-complete-guide-to-transformers-generative-ai/ |
| Genre / Category: | Other Tutorials |
| File Size : | 1.1GB |
| Publisher: | udemy |
| Updated and Published: | July 17, 2023 |
Generative AI, LLMs, ChatGPT, GPT4, Production-Level, Encoder-Decoders, T5, GPT2, BERT, Machine Learning, Data Science
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.
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