LLM

LLM (Large Language Model) is a type of artificial intelligence model based on deep learning, specifically transformer architectures, that is trained on vast amounts of text data to understand, generate, and manipulate human language. These models, such as GPT, BERT, and LLaMA, can perform a wide range of natural language processing tasks, including text generation, translation, summarization, and question answering, by predicting the next token in a sequence based on context.

Also known as: Large Language Model, Large Language Models, LLMs, Language Model, Transformer Model

Why learn LLM?

Developers should learn about LLMs to build applications that leverage advanced language capabilities, such as chatbots, content creation tools, code assistants, and data analysis systems. This is particularly relevant in fields like AI research, software development, and data science, where integrating language understanding can enhance user interfaces, automate tasks, and provide intelligent insights from unstructured text data.

Learning Resources

• docs: Hugging Face Transformers Documentation
• course: Stanford CS224N: Natural Language Processing with Deep Learning
• docs: Attention Is All You Need (Original Transformer Paper)
• tutorial: Andrej Karpathy's Neural Networks: Zero to Hero
• course: Practical Deep Learning for Coders by fast.ai