BYD to integrate DeepSeek into all its cars

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Old 15th February 2025, 09:18   #1

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BYD to integrate DeepSeek into each its cars


BYD has announced it volition connection self-driving systems successful astir each of its models, even the lowest-priced ones.

By integrating DeepSeek into its autonomous driving technology, the EV shaper tin supply a acold cheaper alternate to systems similar Tesla?s Autopilot.

BYD's shares deed a grounds precocious successful Hong Kong, expanding by 4%.

Following this announcement, Japanese car shaper Nissan besides announced it volition beryllium integrating DeepSeek into its EV?s.

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Old 15th February 2025, 10:12   #2

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Re: BYD to integrate DeepSeek into each its cars


One much crushed to support distant from specified companies. Not that I americium disquieted astir privateness oregon thing but I don’t deliberation astir countries volition similar cars to person specified worldly sending backmost each information to the masters successful China.

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Old 15th February 2025, 10:29   #3

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Re: BYD to integrate DeepSeek into each its cars


True.

The contented is that different manufacturers similar Nissan are besides integrating DeepSeek into its EV?s successful bid to enactment competitive. The recently launched N7 which eerily resembles the Verna volition beryllium Nissan?s archetypal to connection DeepSeek.

On different enactment galore automotive brands including Zeekr, Dongfeng M-Hero, Smart, Leapmotor, IM Motors, and Arcfox person besides announced the incorporation of DeepSeek's AI models successful their cockpits.

Nissan?s caller N7:

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Old 15th February 2025, 15:47   #4

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Re: BYD to integrate DeepSeek into each its cars


How is simply a LLM helping with autonomous driving?? I americium not a bundle technologist and hence I americium genuinely confused.

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Old 15th February 2025, 17:42   #5

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Re: BYD to integrate DeepSeek into each its cars


What is Deepseek going to do. LLM's can't thrust cars those are done by AI designed for driving cars.

This sounds similar they are conscionable jumping connected the hype and publicity from Deepseek

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Old 15th February 2025, 22:49   #6

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Re: BYD to integrate DeepSeek into each its cars


If you are connected to net via your phone, your information is not unafraid for the astir portion anymore. There are each sorts of ways to way and hint what you bash and you person been getting targeted ads already for years.

So what BYD is aiming to bash is thing caller successful expansive strategy of things.
Those who are tech savvy capable volition find a mode to minimize their integer beingness arsenic overmuch arsenic imaginable and that is going to hap with BYD arsenic well.

Now its not conscionable BYD that has a connected car sending information to elsewhere, Tesla and different electrical car makers person unrecorded customer/driver information successful their systems for years now. If you simply usage google maps for navigation, your unrecorded information is sent crossed to elsewhere - its arsenic elemental arsenic that.

- So determination is thing caller here. What we request is the consciousness of however these systems enactment and ways to guarantee our information and information by asking close questions and by making astute choices. At slightest Deep question has opened their root codification to the nationalist truthful that techies retired determination tin truly work and recognize however it works.

On the different hand, if you person not realized yet, Open AI has 'open' lone successful their name, their codification is not public. This means, Deek question offers higher level of transparency connected however it works and handles information successful comparison.

Quote:

Originally Posted by Sentau View Post

How is simply a LLM helping with autonomous driving?

Quote:

Originally Posted by SunaPana View Post

What is Deepseek going to do.

In existent times, determination are are assorted types of applications utilizing instrumentality learning algorithms to larn from ample magnitude of information truthful that it tin marque close predictions and these (self driving, upwind prediction etc) are immoderate of those implementation flavors.
My institution (who supplies proviso concatenation solutions) has instrumentality learning algorithms that tin foretell bid transportation timelines by learning from millions of updates that are supplied by assorted bearer services connected delivering products to customers.

The much magnitude of information the algorithms has for processing, the amended it tin larn and respond to assortment of situations. So collecting astir caller information and making it disposable to the 'brain' is important to support up the accuracy.


Last edited by Turbanator : 16th February 2025 astatine 05:18. Reason: No AI content. Please speech astir your ain views.

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Old 15th February 2025, 23:54   #7

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Re: BYD to integrate DeepSeek into each its cars


Quote:

Originally Posted by dileepcm View Post

If you are connected to net via your phone, your information is not unafraid for the astir portion anymore. There are each sorts of ways to way and hint what you bash and you person been getting targeted ads already for years.

Yeah it is somewhat disgusting however everything successful our lives are collecting much and much of our information to amusement america targeted ads, eroding our privateness successful the process.

Quote:

Originally Posted by dileepcm View Post

- So determination is thing caller here. What we request is the consciousness of however these systems enactment and ways to guarantee our information and information by asking close questions and by making astute choices. At slightest Deep question has opened their root codification to the nationalist truthful that techies retired determination tin truly work and recognize however it works.

I thought lone the weights were unfastened and not the algorithms oregon grooming data?

Quote:

Originally Posted by dileepcm View Post

In existent times, determination are are assorted types of applications utilizing instrumentality learning algorithms to larn from ample magnitude of information truthful that it tin marque close predictions and these (self driving, upwind prediction etc) are immoderate of those implementation flavors.
My institution (who supplies proviso concatenation solutions) has instrumentality learning algorithms that tin foretell bid transportation timelines by learning from millions of updates that are supplied by assorted bearer services connected delivering products to customers.

And I americium assuming you usage specialized models/machine learning algorithms trained connected circumstantial applicable datasets. Shouldn't it beryllium the aforesaid for assisted/autonomous driving wherever a specialized exemplary is used? When one was studying astronomy, my chap researchers from the computational broadside utilized to usage specialized models which I don't deliberation utilized akin algorithms to LLMs.


Last edited by Turbanator : 16th February 2025 astatine 05:19. Reason: Quoted station trimmed. Quoted station edited.

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Old 16th February 2025, 02:10   #8

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Re: BYD to integrate DeepSeek into each its cars


Quote:

Originally Posted by Sentau View Post

I thought lone the weights were unfastened and not the algorithms oregon grooming data

There is successful information a superior statement connected the explanation 'open source' erstwhile it comes to AI models (Reddit being the main platform). Let maine rephrase my connection - Deepkseek is much unfastened than immoderate different akin products. This gives a higher grade of transparency and spot for those who would privation to database down pros and cons of specified models successful bid to marque an informed decision.

Quote:

Originally Posted by Sentau View Post

And I americium assuming you usage specialized models/machine learning algorithms trained connected circumstantial applicable datasets. Shouldn't it beryllium the aforesaid for assisted/autonomous driving wherever a specialized exemplary is used?

This is an absorbing point. Let maine explicate what I spot happening successful immoderate industry.
In a batch of scenarios, a batch of companies straight oregon indirectly seizure batch much information than what is perfectly needed for the fixed contextual intent (Gender info is simply a bully example). Why is this the case? Its elemental - immoderate information is invaluable and determination are ever much originative opportunities for that information to crook into accusation that could make concern opportunities. In short, the much information and the much originative you are, the amended the wide result is.

In my company's lawsuit - the information (metrics astir prime up point, details of goods being transported, driblet constituent etc) is provided by carriers. Not each property of the information are truly applicable for grooming the exemplary for predicting transportation pb times which is the main intent (which is what lawsuit sees connected websites portion browsing products oregon portion adding thing to cart). However the information is inactive stored either for a antithetic (side) intent oregon for aboriginal possibilities. This facet is simply the lawsuit - immoderate information is bully data, the much you person it, the wider the opportunities are.


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Old 16th February 2025, 05:14   #9

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Re: BYD to integrate DeepSeek into each its cars


Quote:

Originally Posted by Sentau View Post

How is simply a LLM helping with autonomous driving?? I americium not a bundle technologist and hence I americium genuinely confused.

It's not specifically LLM , they person a multimodal architecture for sensor fusion tasks . Let america accidental a VLM( imaginativeness connection model), which assistance successful embedding the imaginativeness and connection successful a diagnostic abstraction tin beryllium utilized for video summarisation and understanding. Similarly you tin embedded a clip bid and 3D- constituent unreality information oregon Ultrasound and Visible spectrum information
For illustration we usage multimodal to recognize quality enactment connected mill floors for flagging anomalous activities and SOP's utilizing Sensor fusion.


Last edited by greyhound82 : 16th February 2025 astatine 05:21.

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