English | Size: 392 MB
Genre: eLearning
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!
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