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Developing Large Language Models

Learn to develop large language models (LLMs) with PyTorch and Hugging Face, using the latest deep learning and NLP techniques.
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PythonArtificial Intelligence16 hours5,533

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Track Description

Developing Large Language Models

Start your journey to developing Large Language Models (LLMs) today! In this track, you'll learn about the latest techniques for developing state-of-the-art language models responsible for the recent boom in generative AI models, like OpenAI's GPT-4, Meta's LLaMA 2, Mistral-7B, and Anthropic's Claude. Master deep learning with PyTorch to discover how neural networks can be used to model patterns in unstructured data, such as text. Discover how the transformer architecture has revolutionized text modeling, and build your own transformer model from scratch! Finally, learn to work with and fine-tune pre-trained LLMs available from Hugging Face.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to Deep Learning with PyTorch

    Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

  • Course

    3

    Deep Learning for Text with PyTorch

    Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

  • Project

    bonus

    Analyzing Car Reviews with LLMs

    Use LLMs to solve diverse language tasks for a car dealership company.

Developing Large Language Models
4 courses
Track
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