Hugging Face has transformed the landscape of AI development and deployment with its robust ecosystem of pre-trained models, innovative libraries, and versatile tools for natural language processing (NLP), computer vision, and more.
In this talk, we’ll uncover how Hugging Face simplifies machine learning workflows, empowering developers and researchers to achieve more with less effort. You'll discover the power of the Transformers library and the pipelineobject, and learn how to leverage pre-trained models to perform tasks such as NLP, image recognition, and more. We'll explore practical applications like text generation, sentiment analysis, and question answering.
Additionally, we'll delve into using large language models (LLMs) to answer questions based on custom datasets through Retrieval-Augmented Generation (RAG) and learn how to fine-tune pre-trained models for specialized tasks.
Whether you're new to AI or an experienced practitioner seeking to streamline your workflows, this session will provide actionable insights and practical guidance to harness the full capabilities of Hugging Face in your projects.
Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company specializing in helping companies adopt the latest IT technologies. Wei-Meng provides consultancy services to companies on adopting blockchain and AI solutions for their businesses.
