Large Language Model

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About the Course

Unlock the power of Large Language Models (LLMs) with this comprehensive course designed for those eager to dive into advanced natural language processing techniques. You’ll start with a deep understanding of the Attention Mechanism and work through hands-on implementations of Transformer Encoders and Decoders. From there, explore industry-leading models like BERT and GPT, mastering how to train and deploy these cutting-edge tools. By leveraging Pretrained Models and applying Transformers in NLP tasks, you’ll gain the skills to solve complex business challenges with AI. Perfect for anyone looking to enhance their expertise in machine learning and NLP!

Curriculum

  • Module 1: Attention Mechanism

    Overview:

    This module explores the fundamental concepts of transformers and the attention mechanism, including hands-on implementation from scratch.

    Topics to Cover:

    • What is the Attention Mechanism?
    • Build the Attention Mechanism from scratch

  • Module 2: Transformer Encoder

    Overview:

    This module allows participants to gain insights into the architecture and functioning of the transformer encoder.

    Topics to Cover:

    • Why Transformers?
    • Different encoding methods
    • Implementing encoders

  • Module 3: Transformer Decoder

    Overview:

    This module focuses on understanding the transformer decoder’s role in generating sequences and how to build it from scratch.

    Topics to Cover:

    • What is Decoder?
    • Implementation of decoder
    • Encoder and Decoder comparison

  • Module 4: BERT

    Overview:

    This module delves into large language models, starting with an introduction to BERT, its architecture, and implementation.

    Topics to Cover:

    • What is LLM?
    • Steps in a BERT model
    • Prepare data for LLM models
    • Training and Prediction using BERT

  • Module 5: GPT

    Overview:

    This module examines the principles behind the Generative Pre-trained Transformer (GPT) and its decoding strategies.

    Topics to Cover:

    • What is a GPT model?
    • Steps in creating a GPT model
    • Apply different decoding methods to model

  • Module 6: Pretrained Models

    Overview:

    This module teaches various pretrained models and their applications in NLP tasks.

    Topics to Cover:

    • How to use pretrained models?
    • Applying various pretrained models to solve business problem
    • Compare results of various pretrained models

  • Module 7: Transformers for NLP Models

    Overview:

    This module investigates the application of transformers in different NLP scenarios, including many-to-one, many-to-many, and one-to-many tasks.

    Topics to Cover:

    • How to apply transformers?
    • Many to one, many to many, and one to many differences

Learning Outcomes

By the end of this course, participants will be able to:

  • Explain the architecture and working principles of transformers and attention mechanisms.
  • Implement transformer encoders and decoders from scratch.
  • Develop and fine-tune large language models like BERT and GPT for various NLP tasks.
  • Evaluate and deploy LLMs effectively in real-world applications.
  • Utilize RAG techniques to enhance the capabilities of LLMs in information retrieval and generation tasks.

Tools

Python
Large Language Model
Original price was: $699.00.Current price is: $350.00.
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FAQ

Frequently asked questions about the bootcamp

The course is structured into weekly modules, each containing video lectures, reading materials, assignments, and quizzes. You can complete the modules at your own pace, but we recommend following the weekly schedule to stay on track.

You can get support in multiple ways:

  • TA Support on Slack: Our teaching assistants are available on Slack to answer your questions and provide guidance.
  • Peer Community on Discord: Join our Discord community to discuss course topics, share ideas, and collaborate with fellow students.

TAs are available on Slack from 9 AM to 6 PM (ET) Monday to Friday. Outside these hours, you can still post your questions, and TAs will respond as soon as they are back online.

After enrolling in the course, you will receive an invitation link to join the Discord community. Follow the link to create an account or log in to your existing account.

The Discord community offers peer-to-peer support, where you can discuss course topics, share resources, collaborate on projects, and network with fellow learners

The optional mentoring service includes one-on-one sessions with an experienced mentor who can provide personalized guidance, feedback on your progress, and help you set and achieve your learning goals.

Please talk to our Program Advisors to sign up for Mentorship services for an additional cost

Yes, you will have lifetime access to the course materials, including any updates made to the content in the future.

We accept all major credit cards, PayPal, and bank transfers. You can choose your preferred payment method at checkout

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