Course Description
Master the art of building a ChatGPT-style language model from scratch with PyTorch. In this course, you'll explore essential NLP concepts, implement transformers, and create a decoder-only architecture step-by-step. Guided by expert tutorials, gain practical skills to develop advanced AI models tailored for real-world applications.
Course curriculum
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1
Coding a ChatGPT
- Introduction
- Importing
- Creating Inputs & Lables
- Position Encoding
- Masked Self-Attention
- Putting Pieces Together
- Creating Decoder Only Transformer
Certificate of Completion
Unlock a lifetime-valid certificate from Analytics Vidhya upon completing the course—your achievement is forever recognized!
Who should Enroll?
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Ideal for those starting their journey in machine learning and eager to understand NLP and transformer models in-depth.
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For developers with some experience in Python or PyTorch, looking to level up by building ChatGPT-like language models.
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Those interested in expanding their skill set to include deep learning techniques and cutting-edge language modeling.
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Anyone passionate about AI advancements, eager to learn practical techniques for creating state-of-the-art NLP solutions.
About the Instructor
Dr. Joshua Starmer - Co-Founder and CEO of Statsquest
Dr. Joshua Starmer, co-founder and CEO of Statsquest, is a visionary in Artificial Intelligence and Data Science, renowned for transforming complex concepts into practical, actionable insights. With a Ph.D. in Biomathematics and a distinguished career spanning academia and industry, his engaging presentations empower and inspire learners to excel in the ever-evolving world of AI and analytics.
FAQs
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Q: What prior knowledge is required for this course?
A: Basic knowledge of Python and machine learning fundamentals is recommended. Familiarity with PyTorch is helpful but not mandatory, as the course includes step-by-step guidance.
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Q: How is the course delivered?
A: The course features video tutorials, hands-on coding exercises, and downloadable resources, allowing you to learn at your own pace.
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Q: Will I build a complete ChatGPT-style model by the end?
A: Yes! The course walks you through the entire process, from data preparation to implementing and training a decoder-only transformer.
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Q: Is this course suitable for beginners?
A: Absolutely! The course is beginner-friendly, breaking down complex topics into manageable steps, with clear explanations and practical examples.
Key Takeaways
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Understand transformer fundamentals with step-by-step guidance, including masked self-attention and position encoding.
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Build and train models using PyTorch, focusing on practical coding skills for NLP.
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Create a fully functional ChatGPT-style language model from scratch, ready for real-world use.