Foreign exchange and Human-in-the-loop: Difference between pages

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imported>Doug Williamson
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1.  
''Information technology - software - machine learning - natural language processing.''


A transaction for the exchange of one currency for another.
(HITL).


In the context of machine learning, human-in-the-loop refers to one or both of the following roles undertaken by a human:


2.  
*Manual labelling of training data.
 
*Validating or feeding back to the model on the quality of its outputs.
Any currency other than the domestic currency.
 
 
Often represented as FX or FOREX.




== See also ==
== See also ==
* [[CertFMM]]
* [[Artificial intelligence]] (AI)
* [[Currency forward contract]]
* [[Artificial super-intelligence]] (ASI)
* [[Dealer]]
* [[Bot]]
* [[Economic foreign exchange exposure]]
* [[Chatbot]]
* [[Exchange rate]]
* [[ChatGPT]]
* [[Foreign currency option]]
* [[Data]]
* [[Foreign exchange portal]]
* [[Data labelling]]
* [[Foreign exchange risk]]
* [[Deep learning]]
* [[Foreign exchange settlement risk]]
* [[Generative pre-trained transformer]] (GPT)
* [[Foreign exchange swap]]
* [[GPT-4]]
* [[Foreign exchange trader]]
* [[Information technology]]
* [[Forward foreign exchange rate]]
* [[Language model]]
* [[Forward points]]
* [[Large language model]] (LLM)
* [[FXJSC]]
* [[Machine learning]]
* [[IAS 21]]
* [[Natural language]]
* [[Interest rate parity]]
* [[Natural language processing]]
* [[Inversion]]
* [[Neural network]]
* [[Quoted currency]]
* [[Reinforcement Learning from Human Feedback]]  (RLHF)
* [[Robotics]]
*[[Software]]
* [[Software robot]]
*[[Supervised learning]]
*[[Unsupervised learning]]


[[Category:The_business_context]]
[[Category:Identify_and_assess_risks]]
[[Category:Manage_risks]]
[[Category:Manage_risks]]
[[Category:Risk_frameworks]]
[[Category:Risk_reporting]]
[[Category:Technology]]

Latest revision as of 19:26, 23 April 2023

Information technology - software - machine learning - natural language processing.

(HITL).

In the context of machine learning, human-in-the-loop refers to one or both of the following roles undertaken by a human:

  • Manual labelling of training data.
  • Validating or feeding back to the model on the quality of its outputs.


See also