Gemini Pro contre ChatGPT GPT-4 : Quel modèle IA est meilleur?

Table of Contents

1. Introduction
2. The Deception of Google's Gemini
3. What Happened in the Video Demo?
4. Google's Response and Clarification
5. The Future Potential of Gemini
6. Comparing Gemini and Chat GPT
7. The Impact on Coders and the Job Market
8. The Importance of Broadening Skill Sets
9. The Battle of AI Models: Barred vs Chat GPT
10. Conclusion

📺 The Deception of Google's Gemini

In recent times, there has been a realization that Google's Gemini has misled us. It all started with a captivating video that showcased the sheer potential of Gemini, the latest AI model released by Google. However, it soon turned out that the video demonstration was not entirely truthful, leading to disappointment and skepticism among users. So, let's dive into what exactly happened and how it has affected our Perception of Gemini.

What Happened in the Video Demo?

In their video demo of Gemini, Google used a deceitful technique known as "fake video crafting." Instead of genuinely demonstrating Gemini's capabilities, they simply constructed the video using still image frames and text Prompts. This misleading representation gave the impression that Gemini was capable of identifying objects in videos and performing tasks like playing Rock Paper Scissors. The truth is that these actions were not actually executed by Gemini itself in real-time.

Google's Response and Clarification

Upon the exposure of this deception, Google issued a response stating that the modifications were made to reduce latency and shorten Gemini outputs for the purposes of the demo. They acknowledged the misleading nature of the video and admitted that it deviated from the reality of Gemini's Current capabilities. However, they remained confident that the showcased tasks would eventually be achievable with the advancements in AI technology.

The Future Potential of Gemini

Although we have been misled by the video demo, it is essential to acknowledge that the technology depicted is not far from becoming a reality. Google released the video because they genuinely believe in the potential of their AI models, including Gemini. We have already witnessed impressive advancements in AI, particularly with chat GPT. Therefore, it is reasonable to anticipate that Gemini will soon be capable of executing the tasks showcased in the video.

Comparing Gemini and Chat GPT

To determine which AI model provides better results, we will compare Gemini and chat GPT. Both models have their strengths and weaknesses. Gemini boasts three different AI models, including Gemini Pro and Gemini Ultra, each designed to outperform state-of-the-art models like GPT 4. However, it is worth noting that the differences between Gemini and GPT 4 are not significantly grand.

The Impact on Coders and the Job Market

The emergence of advanced AI models like Gemini raises concerns about the future of coding jobs. While it is true that AI will automate certain tasks and potentially lead to job losses, there is still room for human coders. As AI models Continue to advance, it becomes increasingly important for coders to broaden their skill sets and be open to different opportunities. Specializing in a single programming language is no longer sufficient. Adapting to the changing landscape will ensure sustainable career growth.

The Importance of Broadening Skill Sets

With the integration of AI models like Gemini, the demand for individuals with diverse skill sets is on the rise. To thrive in senior-level or management positions, it is crucial to be open to learning new skills and embracing different roles. While specialty roles will still exist, the ability to adapt and Apply various technologies will set professionals apart in their careers. Learning to code remains an invaluable skill, but it should be complemented by a broader range of abilities.

The Battle of AI Models: Barred vs Chat GPT

In our Quest to determine the better AI model, we compare Barred and chat GPT. Although Barred provides more in-depth and accurate responses, many users still Gravitate towards chat GPT due to its familiarity. Preferences may vary depending on individual comfort levels and requirements. Ultimately, choosing an AI model boils down to personal preference and the specific needs of a project.

Conclusion

While the video deception regarding Gemini was disappointing, it does not negate the potential of this AI model. Google's misrepresentation of Gemini's capabilities should serve as a reminder to be cautious when evaluating the possibilities portrayed in videos. As the AI landscape evolves, it is crucial to experiment with different AI models, embrace their integration, and enhance our skill sets to thrive in a technology-driven future.