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#jupyter_notebook #course #large_language_models #llm #machine_learning #roadmap

This course is designed to help you master Large Language Models (LLMs) in three main parts This section covers the basics of mathematics, Python, and neural networks necessary for understanding LLMs.
2. **The LLM Scientist** This part focuses on building applications with LLMs, such as running models locally or via APIs, creating vector storage for retrieval augmented generation (RAG), optimizing inference, deploying models, and securing them against vulnerabilities.

The benefit to you is that you will gain a comprehensive understanding of LLMs, from the foundational knowledge to advanced techniques for building and deploying powerful language models. This will enable you to create efficient, accurate, and secure LLM-based applications.

https://github.com/mlabonne/llm-course
#rust #android #classroom #course #google #guide #rust #training #training_materials

This course, called Comprehensive Rust, is a detailed guide to learning Rust programming language. It covers everything from basic syntax to advanced topics like generics, error handling, and concurrency. The course also includes sections on Android, Chromium, and bare-metal programming. It was developed by Google's Android team for experienced software engineers and is best used in a classroom setting, though it can be useful for teams looking to teach Rust. The benefit to you is that you can learn Rust thoroughly with comprehensive resources and examples, making it easier to master the language. You can access the course online and even contribute to its development if you wish.

https://github.com/google/comprehensive-rust
#jupyter_notebook #agentic_ai #agents #course #huggingface #langchain #llamaindex #smolagents

The Hugging Face Agents Course is a free, interactive course that teaches you how to build and deploy AI agents. It's divided into four units, starting with the basics of agents and ending with a final project where you create and test your own agent. You'll learn about frameworks like `smolagents`, `LangGraph`, and `LlamaIndex`, and how to use large language models (LLMs) in your agents. The course benefits you by providing hands-on experience and practical skills in AI agent development, helping you become proficient in creating and deploying AI agents.

https://github.com/huggingface/agents-course
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