SlideShare a Scribd company logo
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/

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Transformer Neural Network Use Cases with Links

  • 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/