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Machine Learning Techniques

The technical methods and approaches used to build, train, and improve AI models.

Fine-tuning
Fine-tuning is the process of taking a pre-trained AI model and continuing to train i...
RAG
Retrieval-Augmented Generation (RAG) is a technique that combines a search or retriev...
Embedding
An embedding is a numerical representation of text, images, or other data as a vector...
LoRA
LoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning technique that enable...
RLHF
Reinforcement Learning from Human Feedback (RLHF) is a training technique where human...
Quantization
Quantization is a technique for reducing the size and memory requirements of AI model...
Chain of Thought
Chain-of-thought (CoT) prompting is a technique where an AI model is instructed to re...

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