Developing Large Language Models

SKILL PATH

Developing Large Language Models

Large Language Models (LLMs) are cutting-edge AI systems designed to understand and generate human language by leveraging vast amounts of text data. With LLMs revolutionizing industries from customer service to creative writing, mastering them provides highly relevant and in-demand skills. This Skill Path starts with the fundamentals of PyTorch, covering tensor operations and basic neural network concepts. It progresses to deep learning techniques, including regression, autograd, and optimization, before exploring advanced architectures like GANs for tasks such as text-to-image synthesis. You’ll also dive into transformers, focusing on attention mechanisms and encoder-decoder models, which form the backbone of LLMs. Finally, you’ll learn to train, fine-tune, and apply models like BERT for real-world NLP applications, such as sentiment analysis, question-answering, and text generation.

Developing Large Language Models

12 hours

96 Lessons

Learning Objectives


Gain proficiency in PyTorch basics, including tensor operations, autograd, and solving simple regression problems.

Master the principles of generative adversarial networks (GANs) and develop models for tasks like image synthesis and text-to-image conversion.

Understand Transformer architectures, focusing on self-attention, multi-head attention, encoder-decoder mechanisms, and positional encoding.

Explore the components, capabilities, and fine-tuning techniques of large language models (LLMs) like BERT for advanced NLP tasks.

Apply AI models to practical NLP applications, such as sentiment analysis, question-answering, and named entity recognition, with real-world deployment strategies.

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Clifford Fajardo
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I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
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What Our Learners Say

Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.

Felipe Matheus
TestimonialsImg

I highly recommend Educative. The courses are well organized and easy to understand.

Adina Ong
TestimonialsImg

I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
TestimonialsImg