What role does data play in training AI models?

[Shortie]

We know that AI needs to be provided with data to be able to function. We know that humans will have to provide the data to AI but what role does data play in the training of AI?

How much data would need to be provided for AI to be able to function enough that it would be worth it?

 

[bomb]

Well, data is actually the key ingredient for AI models. Actually, that's why OpenAI is giving ChatGPT free. It is constantly learning from the user's input. It enables pattern learning. The amount needed varies by task complexity, with no fixed threshold. Finding the right data balance is key to effective AI functioning.

 

[Ja sa bong]

How much data would need to be provided for AI to be able to function enough that it would be worth it?

There's no limit to the number of data which an AI model would need to complete its training to be useful. There is always room for improvement in what the AI model have already learnt on. Just as human beings need to keep learning and growing until they die, the same thing goes for any AI program.

 

[Kali]

The AI models are the way they are because of the data fed into them. The model works exactly how the data is fed. It will act according to the input data. These models are coded in a way that they follow certain instructions based on data. Without access to data, there is no AI.

 

[Ja sa bong]

The AI models are the way they are because of the data fed into them. The model works exactly how the data is fed. It will act according to the input data. These models are coded in a way that they follow certain instructions based on data. Without access to data, there is no AI.

It's like human knowledge too. You have to read in order to acquire knowledge on anything as a human. You can also learn by interacting with others who has AI haven't been coded to work this way. It will only used the data which have been fed into it to work.

 

[Heatman]

Well, data is actually the key ingredient for AI models. Actually, that's why OpenAI is giving ChatGPT free. It is constantly learning from the user's input. It enables pattern learning. The amount needed varies by task complexity, with no fixed threshold. Finding the right data balance is key to effective AI functioning.

Data is the fuel which AI uses to drive and become locomotive. If there's no data for AI to use, AI will be a useless computer programming model because it's going to be good for nothing.

 

[Kali]

It's like human knowledge too. You have to read in order to acquire knowledge on anything as a human. You can also learn by interacting with others who has AI haven't been coded to work this way. It will only used the data which have been fed into it to work.

That's correct, just like we act based on our intelligence, skill, and experience that we gather through learning, AI models work based on the data fed into them. They can act rouge if the data becomes corrupt, however, as long as they can process data, they will be very smart.

 

[Heatman]

They can act rouge if the data becomes corrupt, however, as long as they can process data, they will be very smart.

It's on this part that I'm very concerned about using AI and its vulnerability. All AI models are prone to be corrupted at one point especially when someone is targeting the technology. This is why steady security upgrade on the AI patch needs to be a priority.

 

[Kali]

It's on this part that I'm very concerned about using AI and its vulnerability. All AI models are prone to be corrupted at one point especially when someone is targeting the technology. This is why steady security upgrade on the AI patch needs to be a priority.

This might be the reason why AI robots have not yet become household help despite a lot of advancements in this technology. A lot of companies, including Elon Musk's company, are trying to mass-manufacture AI robots. When these machines will be rolled out, I think they will be free from technological vulnerabilities.

 

[Ja sa bong]

That's correct, just like we act based on our intelligence, skill, and experience that we gather through learning, AI models work based on the data fed into them. They can act rouge if the data becomes corrupt, however, as long as they can process data, they will be very smart.

Whenever AI go rouge, it's going to be like having a bad file which have corrupted the program. This is why, when it comes to data entry for any AI model, it's taken seriously because the data is what will enable it to work.

 

[Heatman]

This might be the reason why AI robots have not yet become household help despite a lot of advancements in this technology. A lot of companies, including Elon Musk's company, are trying to mass-manufacture AI robots. When these machines will be rolled out, I think they will be free from technological vulnerabilities.

There's no technology that's 100% completely free from vulnerabilities. This is what we have for still having those who into black hat hacking and those into white hat hacking. All technology tools can be hacked especially robots.

 

[Ja sa bong]

I've applied to join Remotasks AI training company. My application and my account is user review. If I'm approved, I'll be playing a role in helping to train several AI programs of the company.

 

[arunima]

The role of data is paramount in developing and training any AI tool. In fact Data is the key ingredient of any AI tool. AI tools are of two types- predictive and generative. They work on patter recognition. The data fed is used to train the tool for pattern recognition. That is the way it predicts or generates information. The reliability and accuracy will depend on the amount and kind of data used to train it

 

[Fidelia]

Machine learning is completely based on data. It is the data fed to the machine that it uses to define scenarios, establish outcomes and take actions. When it comes to AI and language models, data is what power it. The algorithms are defined by data.

 

[saoussen5765]

It could replace outdated documentation because if you search you may find an outdated tutorial while this will not be the case for a bot that has been full of new data and information like recent techniques in programming that this is the power of bots and AI content from my point of view.

 

[Ja sa bong]

Machine learning is completely based on data. It is the data fed to the machine that it uses to define scenarios, establish outcomes and take actions. When it comes to AI and language models, data is what power it. The algorithms are defined by data.

True. Without data to process and build on the database of a language machine model AI, such program wouldn't be in existence. It's like crude oil. If there's no crude oil, there would never be anything like petroleum products.

 

[Killacountai43]

Data is what basically trains the AI to perform a particular function effectively. Without it, the AI wouldn't be able to process and act appropriately based on the task it's supposed to do. If I were to use an analogy, AI would be the car and Data would be the engine. Without it, the car is just a metal shell on wheels.

 

[svjiminfxv]

AI models will start to identify patterns while also learning to extract relevant features from the data that is given.
If the data isn't given, the AI models won't be able to extract the relevant features.

 

[Ja sa bong]

It could replace outdated documentation because if you search you may find an outdated tutorial while this will not be the case for a bot that has been full of new data and information like recent techniques in programming that this is the power of bots and AI content from my point of view.

As long as there are new and more data for an AI program to use, it's going to keep learning to upgrade and update on what it already knew. This is what improves the effectiveness of any AI program on any particular work they they used for.