Transformers for Natural Language Processing and Computer Vision
Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
Created by Denis Rothman
Unlock the power of transformers to tackle real-world challenges in natural language processing and computer vision. Get hands-on with leading models and platforms, and learn to build smarter, more reliable AI applications. Explore both the technical foundations and practical strategies for deploying generative AI.
Packt | Feb 2024 | 730 min
What You Will Learn
You'll build practical skills by working through real-world use cases, from text summarization to image classification. Step-by-step projects guide you through pretraining, fine-tuning, and deploying transformer models. Along the way, you'll use popular tools and libraries to experiment, visualize, and optimize your AI solutions.
Key Features
- Compare top transformer models and platforms to select the best fit for your needs
- Apply retrieval augmented generation to improve LLM accuracy and control outputs
- Identify and address risks like hallucinations using moderation models and knowledge bases
Target Audience
Designed for engineers, data scientists, and developers with a working knowledge of Python and basic machine learning. If you want to deepen your expertise in LLMs and generative AI, or stay ahead of industry trends in NLP and computer vision, you'll find actionable insights and hands-on examples to help you reach your goals.
