Exploring The Technologies Behind ChatGPT, GPT o1 & LLMs

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  • The lowest price of Exploring The Technologies Behind ChatGPT, GPT o1 & LLMs was obtained on November 2, 2024 8:15 pm.

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Last updated on November 2, 2024 8:15 pm
Exploring The Technologies Behind ChatGPT, GPT o1 & LLMs
Exploring The Technologies Behind ChatGPT, GPT o1 & LLMs

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Exploring The Technologies Behind ChatGPT, GPT o1 & LLMs

★★★★★
$54.99  in stock
Udemy.com
as of November 2, 2024 8:15 pm

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
Created by: Tim Reynolds
Software Engineer
Rating:4.64 (425reviews)     3556students 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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