Description
Exploring The Technologies Behind ChatGPT GPT4 & LLMs Course Welcome to this course Designed for learners of all levels, this masterful course provides an in-depth understanding of the transformative impact of GPT-4 and ChatGPT 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 engaging lectures. Our expert instructor guides you through complex concepts using illustrations, solved math examples, and hands-on Python exercises in Jupyter notebooks. Explore the world of transformer training and learn how to use the power of PyTorch to fine-tune transformers. While mastering Masked Language Modeling Task and Next Sentence Prediction Task, learn about BERT, Wordpiece tokenization and various embeddings. In the final part of the course, you’ll explore practical strategies and best practices for effectively using ChatGPT and other LLMs. Learn to create compelling notifications, assess the risks and vulnerabilities of using ChatGPT, and discover software development use cases that can save you 50% of your time. By the end of this comprehensive course, you will have a deep understanding of the GPT-4 architecture and the ChatGPT system. You’ll be equipped with the skills to apply these advanced techniques to a wide range of NLP tasks, from sentiment analysis and text summarization to conversational AI and more. Whether you’re an experienced NLP practitioner or a curious newcomer, the step-by-step guides, 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
- Deep exploration of transformer models and mechanisms of attention
- Hands-on experience with PyTorch and fine-tuning transformers
- Practical insight into BERT applications, Wordpiece tokenization, and embeddings
- Expert guidance on effective strategies and best practices for using ChatGPT and other LLMs
- Real-life examples and use cases that demonstrate the power of NLP techniques
Register today and begin a transformative journey into the fascinating world of GPT-4 and ChatGPT. Gain the skills and knowledge to transform your NLP projects and stay ahead of this rapidly evolving field.
What you will learn in Exploring The Technologies Behind ChatGPT GPT4 & LLMs course
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Understand the historical evolution of NLP and its transition to transformer-based models
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Application of basic concepts of transfer learning and its importance in training and fine-tuning transformer models for various NLP tasks
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Use PyTorch to effectively implement, customize, and optimize transformer models.
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Mastery of essential NLP tasks such as Masked Language Modeling and Next Sentence Prediction
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Build a solid foundation in the practical applications of ChatGPT and other LLMs, along with strategies and best practices.
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Identify innovative software development use cases for ChatGPT that can significantly improve performance
This course is suitable for people who
- Anyone interested in ChatGPT
- Anyone interested in Reinforcement Learning from Human Feedback (RLHF).
- Aspiring data scientists, machine learning engineers, and NLP practitioners
- Anyone who wants to gain a thorough understanding of transformer models and their applications to modern natural language processing tasks.
- Software developers are looking to increase productivity and use the power of NLP models for innovative applications in their work.
Course details Exploring The Technologies Behind ChatGPT GPT4 & LLMs
- Publisher: Udemy
- teacher: Justin Coleman
- Training level: beginner to advanced
- Training duration: 0 hours and 51 minutes
- Number of courses: 15
Topics of Exploring The Technologies Behind ChatGPT GPT4 & LLMs course on 12/2023
Exploring The Technologies Behind ChatGPT GPT4 & LLMs course prerequisites
- Basic Python programming knowledge is helpful but not required
- Internet Access
Course images
Sample video of the course
Installation guide
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download link
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