LLM Applications

Practical use cases for Large Language Models in real-world tasks

Code Generation

Writing code with AI

Learn best practices for generating high-quality code with LLMs

Text Classification

Categorizing content

Sentiment analysis, topic classification, and intent detection

Summarization

Condensing information

Extract key points and create summaries from long texts

Information Extraction

Structured data from text

Extract entities, relationships, and structured data from unstructured text

Question Answering

Q&A systems

Build systems that answer questions from documents and knowledge bases

Data Generation

Synthetic datasets

Generate synthetic data for training, testing, and augmentation