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ai:introduction:ai_terms [2025/02/19 08:38] – created 195.53.121.100ai:introduction:ai_terms [2025/02/19 08:41] (current) 195.53.121.100
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-====== AI TermsRLHF and RAG ======+====== AI GlossaryKey Definitions ======
  
 === Reinforcement Learning from Human Feedback (RLHF) === === Reinforcement Learning from Human Feedback (RLHF) ===
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 **Applications:** RAG is commonly used in chatbots, virtual assistants, and question-answering systems to improve the factual accuracy and relevance of responses. **Applications:** RAG is commonly used in chatbots, virtual assistants, and question-answering systems to improve the factual accuracy and relevance of responses.
  
-=== Related Terms === +=== Fine-Tuning === 
-  * **Fine-Tuning**: The process of adapting a pre-trained model to a specific task using additional training data. +The process of adapting a pre-trained model to a specific task using additional training data. It helps specialize a general AI model for niche tasks or industries.
-  * **Prompt Engineering**: Designing inputs to guide AI models toward producing desired outputs. +
-  * **Reinforcement Learning (RL)**: A broader machine learning approach where agents learn by interacting with an environment and receiving rewards or penalties. +
-  * **Knowledge Base**: A repository of information used for retrieval in systems like RAG. +
-  * **Human-in-the-Loop (HITL)**: A method where humans remain involved in the training or decision-making processes to ensure quality and relevance.+
  
-RLHF and RAG are essential techniques for improving AI behavior and accuracy, offering complementary solutions for creating more human-centric, reliable AI systems.+=== Prompt Engineering === 
 +Designing inputs or queries to guide AI models toward producing desired outputs. Effective prompt engineering can improve response quality without changing the model itself. 
 + 
 +=== Reinforcement Learning (RL) === 
 +A broader machine learning approach where agents learn by interacting with an environment and receiving rewards or penalties. This feedback loop encourages the agent to take actions that maximize rewards over time. 
 + 
 +=== Knowledge Base === 
 +A structured repository of information used by AI systems for information retrievalIn RAG systems, the knowledge base is queried to provide factually grounded outputs. 
 + 
 +=== Human-in-the-Loop (HITL) === 
 +A method where humans remain involved 
  
ai/introduction/ai_terms.1739954280.txt.gz · Last modified: 2025/02/19 08:38 by 195.53.121.100