Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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Updated
Dec 22, 2025
A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
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✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.
A collection of hand on notebook for LLMs practitioner