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Developing Large Language Models

Bijgewerkt 08-2025
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 Hr4,875

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Trackbeschrijving

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, and Meta's Llama 3.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 transformers architecture has revolutionized text modeling, and how to leverage the variety of pre-trained LLMs available from Hugging Face. Finally, learn about the challenges and strategies involved in building and deploying LLMs, from inception to real-world application.

Wat je nodig hebt

Er zijn geen vereisten voor deze track.

  • Course

    1

    Introduction to LLMs in Python

    Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

  • Project

    bonus

    Analyzing Car Reviews with LLMs

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

  • Course

    3

    Working with Llama 3

    Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

  • Course

    5

    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.

  • Course

    9

    LLMOps Concepts

    Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Developing Large Language Models
6 Cursussen
Track
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