Exploring The Technologies Behind ChatGPT, GPT o1 & LLMs
Last updated on November 6, 2026 2:14 amExploring The Technologies Behind ChatGPT, GPT o1 & LLMs
★★★★★
$479.00 in stock
Udemy.com
as of November 6, 2026 2:14 am
COMPLETELY REDONE - The only course you need to learn large language models (LLMs) - ChatGPT, GPT o1, BERT & More!
Created by:
Justin Coleman
Data Scientist and Artificial Intelligence Enthusiast
Data Scientist and Artificial Intelligence Enthusiast
Created by:
Tim Reynolds
Software Engineer
Software Engineer
Rating:4.55 (444reviews)
3676students enrolled
What Will I Learn?
- Identify and select the most suitable transformer-based model for specific NLP tasks.
- Comprehend how transformers process text and generate predictions.
- Fine-tune transformer-based models with custom datasets.
- Develop and implement actionable pipelines using fine-tuned models.
- Deploy fine-tuned models for production use.
- Perform effective prompt engineering for optimal outputs from GPT-o1 and ChatGPT.
- Understand the concepts of attention mechanisms and their application in NLP.
- Grasp the principles of transfer learning and its role in NLP.
- Utilize BERT for natural language understanding tasks.
- Conduct pre-training and fine-tuning of BERT models.
- Apply hands-on experience with BERT for various NLP tasks.
- Explore natural language generation using GPT models.
- Gain practical experience with GPT models for text generation tasks.
- Integrate BERT and GPT models for advanced NLP applications.
- Understand the fundamentals and applications of the T5 model.
- Engage in hands-on projects with T5 for different NLP tasks.
- Deploy transformer models in real-world scenarios.
- Utilize massively large language models effectively.
- Apply best practices and strategies for using ChatGPT and other LLMs in various applications.
Requirements
- Basic Python programming knowledge is helpful but not required
- Internet Access
Target audience
- 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.


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