The  5 Most Popular LLM Applications

1. Text to Text: Summarization, Translation, Question Answering

Text-to-Text NLP applications, driven by models like BERT and Transformer, enable faster decision-making through summarization, global communication via translation, and precise business support via context-aware question answering.

2. Speech to Text: Transcription Services, Voice-Activated Assistants

Speech-to-Text technology, powered by ASR systems and NLP, offers automated transcription services for conference calls and enables voice-activated assistants for hands-free operations and customer interactions in various industries.

3. Image to Text: Image Captioning, OCR (Optical Character Recognition)

Image-to-Text technology uses CNNs and RNNs/Transformers to convert images to text, while OCR involves pre-processing and machine learning classifiers. For businesses, this means auto-tagging visual content for SEO and automating tasks like invoice sorting.

4. Code Generation: Auto-generating Code Snippets, Bug Fixing

Code Generation with LLMs accelerates software development with predicted code snippets and improves bug fixing using static analysis and machine learning for robust business applications.

5. Chatbots: Customer Support, Interactive FAQs

Chatbots in business use decision trees, LSTM networks, and advanced models like GPT, trained on historical interactions for contextual issue-solving. They handle tasks from lead generation to cost-saving automated upselling beyond customer support.

Do you want to explore more than just the 5 popular applications of LLM? We have more information on our detailed blog about Core of LLM, Its importance for business, LLM design & architecture, how it works,  application in top industries, industry LLM leaders and how we at markovate can help you. Tap on the learn more button today!