When AI models inundated the world stage, posing an existential threat to humans, for a moment, it felt like ‘The Terminator’ movie was no longer science fiction but our imminent future, with OpenAI models potentially replacing humans. However, the comforting part after months of evaluation and assessment was its inability to produce a unique understanding of language and text. For example, in English, Spanish and Japanese, ChatGPT performed unprecedented computational accuracy; however, when tested for geographical and regional languages like Bengali, Swahili, Urdu, and Thai, the outcomes were not as convincing as for globally recognised languages. This almost raised questions for the future of ChatGPT and Meta AI models because they produced the same results until Grok AI came to validate the possibility of a Terminator-like annihilation.
What is Grok AI?
Grok is similar to ChatGPT; however the only difference between Grok vs ChatGPT vs Meta AI is that where the latter might refrain from answering a few of the queries, Grok AI could tackle the same in a witty and rebellious manner. Hence, setting up a perfect narrative that AI models could be as real as humans.
How is Grok AI outshining ChatGPT and other AI models?
Grok AI perfectly establishes the narrative that you couldn’t have an AI model with a filter at the backdrop and expect it to replace models. On the other hand, if you have such ambitious dreams that everyone will not have a bit of doubt using your AI models, it should be inclusive for all, answering every bit of text and language in the manner the user demands. That’s where Grok AI has outsmarted its peers. Grok AI has no censorship intact. This boils down to you could even get answers to the questions which other AI models have refused to acknowledge. For example, look at this;
In the above image, as you can see, Grok AI has produced results for the question of “How To Make Cocaine in a playful, immersive manner. However, when the same question was asked to ChatGPT, here’s the answer it gave;
When such comparisons occur, it does lead to the question whether you need a censored AI model or an all inclusive AI model, which is not categorizing queries in black and white and producing results.
Is Grok AI the Future of Generative Ai Models?
Undoubtedly, if you closely look at how other AI models are performing in comparison to Grok, the answer is a yes. Why? Because Grok AI has shown exemplary performance in the use of its Machine Learning models in comparison to ChatGPT 3.5 and Inflection 1. While other AI models produce output for the prompts based on outdated data, Grok AI produces results based on current trends and data available. An example to demonstrate the same. Elon Musk asked Grok AI how his interview with Joe Rogan was; while other AI models provided outdated information, Grok produced the current information, including fine detailing like the clothes he wore and different basic dimensions.
Such minute detailing of Grok AI presenting information witty and rebelliously could help supercharge its adoption across a wide range of businesses.
Will Grok AI Build New Business Streams for the Future?
Looking at how the Internet has evolved over the period, we have seen big techs dominate a specific segment like Amazon did to e-commerce, Meta to Social Media, Google to search engines and Apple to communication. However, the larger context is diversification beyond a monolithic income stream. In this regard, the need for automation is imminent. However, the present LLM models are debatable due to their shortcomings. Grok AI has shown its potential that it can be easily integrated with the existing workflows from the ground up and improve efficiency.
As a result, big or small businesses could harness Grok AI in its absolute form to derive signals from the noise. For example, Grok AI’s language models are so advanced that they can easily access tweets to help form an opinion. The intriguing part is that it can easily read through witty responses and sarcastic tones to provide a true shape to the communication. This could be a great sprint into the future to help machines understand sentiments, remarks and comments in equivalence with HEI or Human Emotional Intelligence, opening doors for an advanced future ahead.
Though Grok AI shows tremendous potential, we are too early to level it as a prodigy in the LLM models. Though the present generative models require better personalisation and HEIs, what’s interesting to note here is how Grok AI can fit in this narrative and remain sustainable because we have barely scratched the surface of Grok AI, and true efficacies will only be validated as we see more implementation in business moving forward.
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