Discover the fundamental differences between Gemini and ChatGPT

Google and OpenAI: two artificial intelligence giants

Recently, the artificial intelligence (AI) scene has witnessed the birth of revolutionary technologies from Google and OpenAI, each with its own proposal: Gemini and ChatGPT, respectively.

Google Proposal: Gemini

Google has announced the arrival of its latest and most sophisticated language model called Gemini, an AI platform designed to emulate human reasoning. Although its most advanced versions will be released in 2024, expectations have already soared.

OpenAI and the rise of ChatGPT

On the other hand, OpenAI entered the field of conversational AI with ChatGPT, a virtual assistant that managed to capture global attention by generating text and computer code with surprising skill. It quickly became an extremely popular service, with a user base of over 180 million.

Comparative Analysis: Distinctive Keys

Fundamental Differences

Although Gemini and ChatGPT may seem equivalent, a detailed evaluation reveals clear differences. While ChatGPT works as a conversational application, based on GPT-4 or GPT-3.5 technology, Gemini represents an independent language model. At Google, the ChatGPT-like service is named after Bard, who recently integrated a customized version of Gemini to answer questions in English.

Understanding Language Models

It is essential to understand that language models are the foundation upon which applications like Gemini and Bard are based. These models are offered to companies and developers, who can use them in various applications beyond conversational interfaces.

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Gemini: a multimodal and evolving AI

Diversity in supply

Gemini comes in three variants: Ultra, Pro and Nano. Ultra is the most complete and multimodal version, while Pro is available for current testing and Nano is intended for devices with lower computing resources. It should be noted that the Ultra version of Gemini, although multimodal and more advanced, will only be accessible in 2024.

Superior Performance in Specific Tests

Tests carried out by Google show that, in most cases, Gemini Ultra outperforms GPT-4, performing above even the human average in complex multimodal reasoning tests.

The training behind both models

Both Gemini and GPT-4 are built on similar technology; However, the training they underwent is decisive in the quality of their responses. Although Google did not reveal the volume of data used to train Gemini, the company highlights an approach focused on multimodal reasoning that promises to be especially effective.

Expectations and future of AI technologies

As the release of more advanced versions of Gemini approaches, it is expected that more detailed comparisons can be made with ChatGPT and other AI assistants. The potential impact of these technologies on different disciplines and their possible strategic advantage over the competition will undoubtedly generate a vibrant debate in the world of AI.

In conclusion, as the technology community awaits future adaptations and advancements in training, it is clear that both Google with Gemini and OpenAI with ChatGPT are charting an exciting future in the field of conversational and multimodal artificial intelligence.

5 main differences between arrow functions in JavaScript!

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And I’m not talking about the syntax. I’m talking about deeper things.

1. You can create an implicit return with the first expression.

const sum = (a, b) => a + b
sum(1, 3) // 4

2. They cannot be used to build objects or… pic.twitter.com/O5BCxQoT3m

-Miguel Ángel Durán (@midudev) May 16, 2023