LLM101n
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Llm101n
Overview :
LLM101n is an open-source course designed to teach you how to build a story-telling AI large language model (LLM) from scratch. The curriculum covers a range of topics from fundamental to advanced, including language models, machine learning, and deep learning frameworks. It is suitable for programmers and researchers who wish to gain a deeper understanding of AI and LLMs.
Target Users :
This product is suitable for programmers, researchers, and students who are interested in artificial intelligence, deep learning, and large language models. It provides a practical platform for learners to gain a deep understanding of these technologies by building their own Storyteller AI.
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Use Cases
Students learn through the LLM101n course and build their own Storyteller AI models.
Researchers use the technologies and methods from the course to improve their AI research projects.
Programmers leverage the knowledge and code examples from LLM101n to develop new AI applications.
Features
Build an end-to-end Storyteller AI Large Language Model.
Gain a step-by-step understanding of AI, LLM, and deep learning from basic to advanced concepts.
Develop using programming languages such as Python, C, and CUDA.
Cover various deep learning topics including machine learning, optimization algorithms, attention mechanisms, and Transformer models.
Provide code examples and practical projects to help learners apply theoretical knowledge to practice.
Course content is suitable for learners with a minimum computer science background.
How to Use
Visit the LLM101n GitHub page to learn about the course overview and structure.
Read the course Syllabus to understand the topics and chapters you will be learning.
Follow the course instructions to learn and practice each step of building the Storyteller AI.
Participate in course discussions to exchange ideas and ask questions with other learners.
After completing the course, try applying your knowledge to your own projects.
Contribute code or improvements to LLM101n on GitHub and join the open-source community.
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