Constitutional AI
What Is Constitutional AI? Constitutional AI is a method of training artificial intelligence using a written set of rules or…
Knowledge Cutoff
What Is a Knowledge Cutoff? A knowledge cutoff is the point in time when an AI model stops learning from…
Memory Mode
What Is Memory Mode and How Does It Work? Memory Mode in AI refers to a system’s ability to retain…
Function Calling
What Exactly Is Function Calling? Function calling is the ability of an AI model to recognize when an external action…
System Prompt
What is a System Prompt? A system prompt is a hidden instruction that defines how an AI model behaves before…
Custom GPTs
What Are Custom GPTs? Technology has changed how we work. It helps us plan better, communicate faster, and stay connected…
Embedding Optimization
What Is Embedding Optimization and Why Does It Matter in AI Search? Embedding optimization is changing how artificial intelligence understands…
Self-Consistency Decoding
What is Self-Consistency Decoding and Why Is It Important? Self-consistency decoding is a method that improves the performance of AI…
Elastic Context Compression
What Is Elastic Context Compression? Elastic Context Compression, often abbreviated as ECC, is a method used by large language models…
Contrastive Learning
What Is Contrastive Learning and Why Does It Matter? Contrastive learning is a method that helps machines learn by observing…
Mixture of Experts
What Is the Mixture of Experts? The Mixture of Experts is an advanced neural network design that divides a large…
Chain of Thought Reasoning
What Is Chain of Thought Reasoning? Artificial intelligence is evolving beyond quick answers. The real transformation lies in how AI…
Reinforcement Learning from AI Feedback
What Is Reinforcement Learning from AI Feedback (RLAIF)? Reinforcement Learning from AI Feedback is a process where one model improves…
Reinforcement Learning from Human Feedback (RLHF)
What Is Reinforcement Learning from Human Feedback? Reinforcement Learning from Human Feedback, known as RLHF, is a method used to…
Low-Rank Adaptation
What is Low-Rank Adaptation? Low-Rank Adaptation, commonly known as LoRA, is a fine-tuning method that allows large pre-trained models to…
