Exploring The Technologies Behind ChatGPT, GPT4 & LLMs
COMPLETELY REDONE - The only course you need to learn large language models (LLMs) - ChatGPT, GPT4, BERT & More!
Ratings 4.55 / 5.00
What You Will Learn!
- Comprehend the historical evolution of NLP and its transition towards transformer-based models
- Apply fundamental concepts of transfer learning and its significance in training and fine-tuning transformer models for diverse NLP tasks
- Utilize PyTorch to effectively implement, customize, and optimize state-of-the-art transformer models
- Mastering essential NLP tasks like Masked Language Modeling and Next Sentence Prediction
- Develop a solid foundation in the practical applications of ChatGPT and other LLMs, along with the strategies and best practices
- Identify innovative software development use cases for ChatGPT that can significantly improve efficiency
Description
Notice: As of APR 08, 2024, this course has undergone a comprehensive revision. Please be assured that it will continue to receive regular updates to maintain its relevance and effectiveness.
Welcome to this course. Designed for learners of all levels, this expertly crafted course offers an in-depth understanding of the transformative impact that GPT-4 and ChatGPT have on modern NLP.
Delve into the rich history of NLP, explore the foundations of transformer models, and understand the intricacies of attention mechanisms, as you work your way through our highly engaging and visually captivating lectures. Our expert instructor will guide you through complex concepts using illustrations, solved mathematical examples, and hands-on Python exercises within Jupyter notebooks.
Discover the world of transfer learning and learn how to harness the power of PyTorch for fine-tuning transformers. Get acquainted with BERT, Wordpiece tokenization, and various embeddings while mastering the Masked Language Modeling Task and the Next Sentence Prediction Task.
In the latter part of the course, you'll explore practical strategies and best practices for using ChatGPT and other LLMs effectively. Learn to craft compelling prompts, assess the risks and vulnerabilities of using ChatGPT, and uncover software development use cases that can save you 50% of your time.
By the end of this comprehensive course, you will have gained a deep understanding of the GPT-4 architecture and the ChatGPT system. You'll be equipped with the skills to apply these cutting-edge techniques to a wide range of NLP tasks, from sentiment analysis and text summarization to conversational AI and more.
Whether you're a seasoned NLP practitioner or a curious newcomer, our step-by-step guidance, interactive learning experience, and practical examples will help you master the world of GPT-4 and ChatGPT in no time.
Course Highlights:
Comprehensive coverage of GPT-4 and ChatGPT concepts
In-depth exploration of transformer models and attention mechanisms
Hands-on experience with PyTorch and fine-tuning transformers
Practical insights into the applications of BERT, Wordpiece tokenization, and embeddings
Expert guidance on effective strategies and best practices for using ChatGPT and other LLMs
Real-world examples and use cases that demonstrate the power of NLP techniques
Enroll today and embark on a transformative journey through the captivating world of GPT-4 and ChatGPT. Gain the skills and knowledge to revolutionize your NLP projects and stay ahead in this rapidly evolving field.
Who Should Attend!
- Anyone interested in ChatGPT
- Anyone interested in Reinforcement Learning from Human Feedback (RLHF)
- Aspiring data scientists, machine learning engineers, and NLP practitioners
- Anyone who want to gain a solid understanding of transformer models and their applications in modern natural language processing tasks.
- Software developers seeking to enhance their productivity and leverage the power of NLP models for innovative applications in their work.
Tags
- Deep Learning
- Reinforcement Learning
- ChatGPT
Subscribers
2961
Lectures
84
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