13 Asteroids
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Welcome to the 🤗 Course!
Understanding NLP and LLMs
What’s the difference?
NLP (Natural Language Processing) is the broader field focused on enabling computers to understand, interpret, and generate human language. NLP encompasses many techniques and tasks such as sentiment analysis, named entity recognition, and machine translation.
LLMs (Large Language Models) are a powerful subset of NLP models characterized by their massive size, extensive training data, and ability to perform a wide range of language tasks with minimal task-specific training. Models like the Llama, GPT, or Claude series are examples of LLMs that have revolutionized what’s possible in NLP.
- Is better taken after an introductory deep learning course, such as fast.ai’s Practical Deep Learning for Coders or one of the programs developed by DeepLearning.AI
After you’ve completed this course, we recommend checking out DeepLearning.AI’s Natural Language Processing Specialization, which covers a wide range of traditional NLP models like naive Bayes and LSTMs that are well worth knowing about!
Note that a list of project ideas is also available on the forums if you wish to practice more once you have completed the course.