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What is the possibility of incorporating chat GPT into PC LINK for auto-tuning?


k fuku

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What benefit do you think a written language learning algorithm has when applied to engine tuning?

What could this give over the existing functionality such as Quick Tune, Mixture Map, Long Term Closed Loop Lambda Trims?

What other features and enhancements do you want to not get?

 

I'm not trying to be difficult, but I'm not immediately sure how this feature could be implemented in a useful way - hopefully you can make some suggestions! :) 

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10 hours ago, Confused said:

What benefit do you think a written language learning algorithm has when applied to engine tuning?

What could this give over the existing functionality such as Quick Tune, Mixture Map, Long Term Closed Loop Lambda Trims?

What other features and enhancements do you want to not get?

 

I'm not trying to be difficult, but I'm not immediately sure how this feature could be implemented in a useful way - hopefully you can make some suggestions! :) 

https://www.hptuners.com/products/neuralnetworktrainer/

1) The first is a function that automatically learns fuel and ignition adjustments based on driving logs, as in the example described above.


Next, the AI will adjust the car according to the driver's preference, for example, focusing on low-speed torque, fuel efficiency, or the ideal torque curve.


(3) Construction of GP PWM.   


(4) Construct OEM and CAN-BUS analysis streams.
 
 
(5) Advice and assistance on GP PWM customization, etc., in natural language.


(6) Assist with initial settings of triggers, etc.


We believe that if the current functionality of the chat GPT can be learned, it would not be surprising if manufacturers other than LINK release the above functionality in the near future through language interaction.


We would be happy if they would consider supporting this as a future direction.

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1 hour ago, k fuku said:

The first is a function that automatically learns fuel and ignition adjustments based on driving logs, as in the example described above.

It is a language based AI not a math's based AI. Also how will it improve ignition timing without any ability to measure torque and it is not in anyway setup to deal with knock audio.

1 hour ago, k fuku said:

Construction of GP PWM.

What kind of GP PWM construction are you doing that would require the use of an AI, also once again it is a language based AI not a math or logic based AI.

1 hour ago, k fuku said:

Construct OEM and CAN-BUS analysis streams.

Not a math based AI. If you did have a math based AI and you fed it all of the factory scan tool data and the raw CAN bus you could use it to find patterns of things that match.

1 hour ago, k fuku said:

Advice and assistance on GP PWM customization, etc., in natural language.

Theoretically this should be covered by a well written help manual and for chat GPT to be of any real use it would have to be trained using data more specific to GP PWM outputs and the use of basic logic than the training data from the internet that it will have had access to.

1 hour ago, k fuku said:

Assist with initial settings of triggers, etc.

It is a language based AI and will have no concept of how a trigger pattern is decoded. To figure out what trigger settings to use given a random motor the most important thing to know is what the trigger disks look like which is not something chat GPT will know or can deal with. The trigger settings in PCLink and how they work are also specific to Link and so it would have had to have been trained on specifically how these settings work in a Link ECU which it will not have been.

 

Given how specific and logic/technical information based ECUs and tuning are a natural language model AI like chat GPT would be of very limited use especially when compared to a help manual which specifies how different features and settings work. The answers you would get from chat GPT might sound right and be easy to read but they would not be likely to answer the specific question in a useful way or be technically accurate.

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