Datacamp – Developing Large Language Models 2025-3

Datacamp – Developing Large Language Models 2025-3 Downloadly IRSpace

Datacamp – Developing Large Language Models 2025-3
Datacamp – Developing Large Language Models 2025-3

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.

What you’ll learn

  • Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.
  • Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
  • Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
  • Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

Specificatoin of Developing Large Language Models

  • Publisher : Datacamp
  • Teacher : Maham Khan
  • Language : English
  • Level : All Levels
  • Number of Course : 4
  • Duration: 16h

Content of Developing Large Language Models

Developing Large Language Models

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Developing Large Language Models

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Installation Guide

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Subtitle : English

Quality: 720p

The 2025/3 version has been completely changed compared to the 2024/8 version and new courses have been replaced.

Download Links

Deep Learning for Text with PyTorch

Download – 242 MB

Introduction to LLMs in Python

Download 135 MB

LLMOps Concepts

Download 173 MB

Reinforcement Learning from Human Feedback (RLHF)

Download – 158 MB

Transformer Models with PyTorch

Download – 105 MB

Working with Llama 3

Download – 63 MB

File size

392 MB