Modern Natural Language Processing with GPT-4 & more

4.5

(3 ratings)

·

10 Days

·

Cohort-based Course

See how companies like OpenAI create large language models like BERT and GPT-3 and learn how to use GPT-3 and ChatGPT to create NLP products

Course overview

Master Large Language Models in 2 weeks

Build fair NLP pipelines with modern techniques and architectures through a unique hands-on approach.

Who is this course for

01

NLP / Machine Learning Engineers who want to learn about modern large language models.

02

Data Scientists looking to reduce bias in their NLP pipelines.

03

AI enthusiasts exploring NLP to build fun projects!

What you will do

Build a robust information retrieval system and Q/A system

Use S-BERT to index documents at scale and both GPT and BERT to answer questions given indexed documents.

Build multi-task NLP pipelines

Use GPT and other causal language models to perform both sentiment analysis and abstractive summarization at once using the same training dataset

Prompt Engineering with GPT-3 and chatGPT

Learn the fundamentals of prompt engineering to get the most out of the state of the art models GPT-3 and chatGPT

See what people are saying

        Sinan did an excellent job of providing us with a foundational lesson in NLP. There was a good balance of theoretical knowledge and practical applications. I appreciated that he spent time walking through real-world examples to help us understand how LLMs are being used in different technology contexts. I feel much more equipped to build products.
Kene Anoliefo

Kene Anoliefo

Student
        Sinan was very clear and concise. The materials he prepared were easy to follow and I felt encouraged as a person who has not encountered this material before. I love the way the course was structured.
Luna Olavarria Gallegos

Luna Olavarria Gallegos

Student

Meet your instructor

Sinan Ozdemir

Sinan Ozdemir

Author, lecturer, and entrepreneur

Sinan is an experienced teacher, engineer, author, and entrepreneur.


  • He has written 5 books about Data Science and Machine Learning
  • He was an adjunct lecturer for The Johns Hopkins University teaching Data Science
  • He started and sold Kylie.ai, a company dedicated to providing top-tier automations for Fortune 100 companies
  • He lectures for O'Reilly and Pearson on Large Language Models
  • He advises for VCs up and down the west coast on AI strategy, defensibility, and implementation
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Course syllabus

01

Introduction to Large Language Models

Learn the history of modern NLP from the introduction of deep learning in solve language tasks to language modeling and the modern Transformer architecture

02

Natural Language Understanding with BERT

We will dissect the BERT architecture and the scaled dot product attention formula to understand how the encoder stack of the Transformer can be used to achieve state of the art results for Natural Language Understanding (NLU) tasks.

03

Natural Language Generation with FLAN-T5 & GPT

We will dissect the T5 and GPT architecture and see how the altered masked attention formula makes the decoder stack of the Transformer able to achieve state of the art results for Natural Language Understanding (NLU) tasks.


We use the GPT-3 API to solve NLP tasks and fine-tuning FLAN-T5 on a custom dataset

04

Prompt Engineering for GPT3 and ChatGPT

We will learn the fundamentals of prompt engineering to get the best results from GPT-3 and chatGPT's outputs.


We Fine-tune GPT-3 and use Embeddings and DALL-E 2 to create a compelling prototype

Course schedule

4-6 hours per week
  • Twice a week

    8:00am - 10:00am PT

    Sessions are twice a week for two hours each. Each session will have breaks and Q/A baked in.

  • Weekly office hours

    1 hour per week

    We will have at least one office hour a week where you can ask me anything about our course or something AI related. I'd love to hear about what you're working on and even pair program!

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Learning is better with cohorts

Learning is better with cohorts

Build powerful NLP pipelines

Learn how to create powerful Natural Language Processing (NLP) pipelines using the latest language models like BERT and GPT

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams to discover the potential of GPT-3 to create state-of-the-art NLP pipelines.

See how OpenAI does it

Gain an understanding of how OpenAI pre-trains and fine-tunes language models for use in various applications.

Use GPT-3 Today!

Learn how to integrate language models into existing applications and create new ones.

Frequently Asked Questions

What happens if I can’t make a live session?
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