Classification
Classification is a fundamental task in machine learning where the goal is to predict the category or class of a given data point. It's widely used in various applications such as spam detection, image recognition, and medical diagnosis.
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LLMs (Large Language Models)
Large Language Models (LLMs) are advanced AI models trained on vast amounts of text data. They excel in natural language processing tasks and can be used for various applications:
- Agents: AI assistants that can perform tasks or answer questions.
- RAG (Retrieval-Augmented Generation): Enhancing LLM outputs with external knowledge retrieval.
- Fine-tuning: Adapting pre-trained models to specific tasks or domains.
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Time Series Prediction
Time series prediction involves analyzing historical data points to forecast future values. This technique is crucial in various fields such as finance, weather forecasting, and demand prediction in supply chain management.