llm-course

by mlabonne · Machine Learning

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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Machine LearningAI Applicationcourselarge-language-models
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About this project

𝕏 Follow me on X • 🤗 Hugging Face • 💻 Blog • 📙 LLM Engineer's Handbook The LLM course is divided into three parts: 1. 🧩 LLM Fundamentals is optional and covers fundamental knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques. 3. 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them. [!NOTE] Based on this course, I co-wrote the LLM Engineer's Handbook, a hands-on book that covers an end-to-end LLM application from design to deployment. The LLM course will always stay free, but you can support my work by purchasing this book. For a more…

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llmcourselarge-language-models

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Low recent activity
Last update7 months ago
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Latest release
Open issues & PRs91
LicenseApache-2.0
On GitHubsince 2023

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