Hugging Face in 4 Hours

What you’ll learn and how you can apply it

• How to Use Hugging Face's NLP Toolkit: Learn to navigate the Hugging Face platform, utilizing its array of tools for tasks like text analysis, language understanding, and generation to suit both personal and business needs.
• Customizing AI to Your Needs: Grasp how to tailor AI models to specific scenarios, such as creating a chatbot or analyzing customer feedback, with simple strategies for enhancing model relevance and accuracy.
• Making AI Work for You: Discover practical ways to implement AI solutions without the heavy lifting, using Hugging Face's user-friendly Inference API to bring AI into your workflows effectively.
• The Collaborative Edge of AI: Understand the significance of community engagement and how collaboration leads to better AI solutions, along with an introduction to multimodal AI's exciting capabilities in processing diverse data types.

And you’ll be able to:

• Complete the sentence with 3-4 actions or skills attendees will be able to do
• Implement NLP in Real Situations: Execute NLP projects by fine-tuning state-of-the-art models to understand and generate language, making AI work smartly for various applications, from automated content creation to insightful data analysis.
• Master the Hugging Face Environment: Maneuver through Hugging Face's rich ecosystem with ease, accessing pre-built models and datasets, and learning how to contribute to and benefit from the collective progress of AI.
• Harness the Power of Multimodal AI: Employ AI models that understand and generate not just text but also handle images and audio, to create more comprehensive and sophisticated AI applications.
• Contribute to and Grow with the AI Community: Tap into the shared wisdom of a global network of AI practitioners and enthusiasts, enhancing your own projects with contributions and discoveries from the field's leading edge.

This live event is for you because...

• You're curious about AI: Ideal for business professionals who wish to understand the power of AI for language tasks.
• You want to level up your NLP skills: For those in technical roles or with a development background, this event offers the chance to refine and update your current skill set with the latest NLP techniques and industry best practices.
• You're interested in practical AI application: If you seek to learn how AI can be applied to real-world scenarios, such as improving customer service with chatbots or gaining insights from data analysis, this course provides the necessary tools and guidance.
• You value community learning: Emphasizing community knowledge and support, this course is a fantastic opportunity for those who thrive in collaborative environments and wish to contribute to or initiate AI projects.

Prerequisites

• Basic to intermediate Python skills: Comfort with Python is crucial as we'll be using it throughout the course to interact with Hugging Face tools and integrate NLP into practical examples.
• Foundational Machine Learning knowledge: This session will be most effective if you have some experience working with Machine Learning—this can range from building models and data pipelines to designing AI-powered features.
• An introductory grasp of NLP concepts: While we’ll cover the use of NLP in detail, some prior exposure to NLP principles will be beneficial for following along with the course’s technical aspects.

For Non-Developers:

• Don't worry if you're not a Python pro. Having a general idea of how programming works and an enthusiasm for learning AI will go a long way in this course. We'll be sure to explain concepts in a way that is accessible to all levels of technical expertise.

Course Set-up

• Python Environment: Install Python on your machine. We recommend using the Anaconda distribution as it conveniently bundles Python with Jupyter notebooks and other data science tools.
• Internet Connection: Ensure you have a reliable internet connection to download course materials and access online resources during the course.
• Course Materials on GitHub: This repository will contain all the code, datasets, and additional materials you'll need https://github.com/sinanuozdemir/oreilly-huggingface-tour

For Non-Developers:

• You'll be guided through how to access and use the provided materials, so no prior GitHub experience is necessary. We'll ensure you have all the support you need to get up and running.

Recommended Preparation

• Read: Natural Language Processing with Transformers, Revised Edition, by Lewis Tunstall, Leandro von Werra, Thomas Wolf for a solid background on transformers, which are central to Hugging Face's technology
• Watch: “Doing Hugging Face” by Alfredo Deza and Noah Gift to learn the practicalities of building solutions with the Hugging Face platform. This video course covers the use of MLOps methodology to deploy applications using Hugging Face and GitHub Actions
• Watch: “Hugging Face for MLOps” by Alfredo Deza to understand how to leverage Hugging Face for machine learning operations. It includes hands-on experience in building, training, and deploying models with the Hugging Face platform
• Explore: “Introduction to Transformers for NLP” by Shashank Mohan Jain to get a comprehensive introduction to using the Hugging Face Library and models for solving NLP problems, which will be a great primer before diving into the course

Recommended Follow-up

• Attend: Hands-on NLP with Transformers by Sinan Ozdemir
• Read: Quick Start Guide to Large Language Models by Sinan Ozdemir
• Listen: AI Unveiled by Sinan Ozdemir
• Read: Quick Start Guide to Large Language Models by Sinan Ozdemir
• Watch: Quick Start Guide to Large Language Models (LLMs) by Sinan Ozdemir
• Watch: Practical Retrieval Augmented Generation (RAG) by Sinan Ozdemir
• Watch: Modern Automated AI Agents by Sinan Ozdemir