llm-course and llm_seminar_series

llm-course
57
Established
llm_seminar_series
40
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Stars: 76,573
Forks: 8,835
Downloads:
Commits (30d): 0
Language:
License: Apache-2.0
Stars: 34
Forks: 10
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About llm-course

mlabonne/llm-course

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

This course helps developers, researchers, and engineers learn how to build and deploy Large Language Models (LLMs). It guides you from foundational knowledge in mathematics and Python, through advanced techniques for crafting powerful LLMs, to practical application development and deployment strategies. You'll go from beginner concepts to creating and launching your own LLM-powered applications.

LLM development machine learning engineering AI application deployment model fine-tuning natural language processing

About llm_seminar_series

infocusp/llm_seminar_series

Material for the series of seminars on Large Language Models

This seminar series provides comprehensive insights into Large Language Models (LLMs), covering their foundational concepts, various pretrained models, and prompt engineering techniques. It helps you understand how LLMs work, how to use existing ones for different tasks, and how to develop applications with them. Anyone looking to leverage or build with large language models, from data scientists to product managers, would find this useful.

AI education Natural Language Processing Machine Learning Engineering AI strategy

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