A list of usecases for Transformer Neural Network Architecture with their example links where they are used.

1. Domain Application Description Link with details
Natural Language Processing (NLP) Machine Translation Models like Google’s Translate and other translation services use Transformers for accurate text translation. http://research.google/blog/transformer-a-novel-neural-network-architecture-for-language-understanding/
Text Generation OpenAI’s GPT-3 and other language models generate human-like text for chatbots, content creation, and reporting. https://openai.com/blog/chatgpt/
Sentiment Analysis Analyzing sentiments in text for customer feedback analysis and social media monitoring. https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest
Named Entity Recognition (NER) Identifying and classifying entities in text, such as names of people, organizations, locations, etc. https://huggingface.co/dslim/bert-base-NER
Speech Processing Speech Recognition Converting spoken language into text, as seen in virtual assistants like Amazon Alexa, Google Assistant, and Siri. https://blog.google/technology/ai/lamda/
Text-to-Speech Generating natural-sounding speech from text, used in various voice generation applications. https://docs.aws.amazon.com/polly/latest/dg/generative-voices.html
Computer Vision Image Classification Models like Vision Transformers (ViTs) apply Transformer architecture to classify images into categories. https://github.com/google-research/vision_transformer
Object Detection Identifying and locating objects within images, used in applications ranging from autonomous vehicles to surveillance systems. https://cleantechnica.com/2022/06/09/tesla-full-self-driving-is-using-gpt-for-vision-dr-know-it-all-explains-what-this-means/
Image Generation Models like DALL-E use Transformers to generate images from textual descriptions. https://openai.com/dall-e-2/
Recommender Systems Personalized Recommendations E-commerce platforms like Amazon and streaming services like Netflix use Transformers for personalized recommendations. https://github.com/abishek-as/Netflix-Movie-Recommendation
Healthcare Medical Imaging Analysis Analyzing medical images for diagnostic purposes, including detecting abnormalities in X-rays, MRIs, and CT scans. https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-024-01212-4
Drug Discovery Assisting in identifying potential drug candidates by analyzing chemical structures and biological data. https://blog.reverielabs.com/transformers-for-drug-discovery/
Finance Algorithmic Trading Developing models for predicting market trends and making automated trading decisions. https://github.com/stefan-jansen/machine-learning-for-trading
Fraud Detection Identifying fraudulent transactions by analyzing patterns and anomalies in transaction data. https://www.mdpi.com/2076-3417/14/1/460
Scientific Research Genomics Analyzing DNA sequences to understand genetic variations and their implications in health and disease. https://towardsdatascience.com/bringing-bert-to-the-field-how-to-predict-gene-expression-from-corn-dna-9287af91fcf8
Climate Modeling Enhancing models that predict climate change and weather patterns. https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.2098
Entertainment Game Development Creating more interactive and responsive non-player characters (NPCs) in video games. https://arxiv.org/pdf/1912.03918.pdf
Content Creation Assisting in scriptwriting, story generation, and other creative writing tasks. http://research.google/blog/transformer-a-novel-neural-network-architecture-for-language-understanding/