AI can be used to generate adaptive questions to combat students who memorize leaked questions. It can even be used to adjust questions in real time as it guages the performances of students.

I think it would take ample time before LLM would get the near perfect disposition of humans in writing. Different humans express emotions differently in writing and it would take large and varying sets of data for a language model to incorporate all those emotional nuances into it for it to...

AI models can run a fact check to identify points of bias in a particular reading piece. That can be used by news editors and academic project writers to ensure that information they get from sources are very credible.

For me, the imaginative request I have made from an AI is to generate a code that would be used to build an android app that can be used to perform a pregnancy test. And surprisingly, the model generated a code snippet for me.

Using AI to get better results depends largely on how you prompt the AI model. No matter how good and robust and AI model is, if you can't prompt it optimally, it would always seem to fall short of your expectations.

For contexts like news, Grok's integration with social media platforms would allow for one to get real time news to make valuable decisions. For instance, if you need current price of a crypto coin, that integration would be valuable to give you the most updated and current price from Grok.

Grok has already emphasized it's focus to curb misinformation and give users transparent information they can rely on. The dynamics is that Grok AI might be in future integrated with X, it's parent platform to verify if information posted on the platform is true or false. That is one possible...

Grok AI always makes sure to give detailed explanations to queries and try to justify why it gives the information it generates. I think with that model of operation, it is less likely to have issues with algorithm bias.

People that need information with source can't rely on Bard . Google search always let's you have the authentic source of whatever information you are getting. And AI models have the tendency to hallucinate and generate information that are not factually very correct. For academic type...

I think to analyse app demos, one would need sentiments analystic tools to checkout the video for tone and choice of words. Tools like Amazon Transcribe or Google Cloud Speech-to-Text can do a job to help identify points in the video that would elicit or drop interest of viewers.

Branding and advertising managers have never had it so good and easier. They can generate marketing scripts using Chat GPT and use synthesia to create animation videos for those scripts. Synthesia would be most useful for businesses.

Otter AI just beats any other competitor in this aspect. It's note taking and keywords generation are second to none. And you know what? It is free. Do many people are using Otter ai to make good money from transaction platforms.

Google search offers a broader spectrum for information seekers while Bard is all about bringing the depths of a possible information. Bard draws from Google search and hence it cannot replace Google search. They would continue to complement each other perfectly.

True this. Web 3 is a chain of complex applications that incorporate vast levels of internet usage at a higher level. Blockchain is not Web 3. It is part of the components of Web 3. And Blockchain is not just about crypto alone but for all other applications of immutable recording of data.

I virtually use Bard on a daily basis. It is my go to language model and I use it everyday to compose emails and get information on the things I need more information about everyday. I used it yesterday and today too. For me, it is even beyond a weekly must have. It is a daily must have.