Generative Artificial Intelligence continues to be the new area of competition and innovation for the world’s major IT players. Since the launch of ChatGPT in 2022, both in its free and paid versions, other providers are already in the process of implementing alternatives for the massification of these services.

Meta is about to launch Llama3, its On Premises solution, which is specifically designed to be deployed on the various platforms of its own network (WhatsApp, Facebook, Instagram, Threads, Ads, etc.) for incorporating Bots and processing large volumes of data. At the same time, Google is not lagging behind and, on April 10, presented the sizing of its Generative Artificial Intelligence ecosystem: Gemini.

Gemini: unifying the future of generative artificial intelligence

Gemini is the evolution of its new and existing generative artificial intelligence tools, such as the well-known Bard for natural language processing (NLP), but in a context that seeks to unify the totality of components already available to its public and private ecosystem, such as Google Suite, Cloud Services, Security, Workspace and more. This gives rise to very positive expectations, as Google has also sought interoperability with other non-proprietary solutions, such as the aforementioned ChatGPT (OpenAI) and Llama (Meta).

This combination promises to accelerate the adoption of these technologies, both on a mass scale and at a corporate level, given the high capillarity of Google’s freemium and paid services. In this way, generative artificial intelligence evolves as a tool, from an online consultation with a partner to the technical implementation of other solutions and integrations, increasing its depth and scope.

Humanizing customer service and CX with generative artificial intelligence

Within the framework of conversational commerce, Gemini is seeking to leverage the generation of increasingly humanized services and bots or the mass processing of post-treatment surveys (APS). In a space where its competitors are already deploying their own resources, one of the most relevant innovations being the ability to process prompts, Gemini promises to be able to do so with up to 1 million tokens per context (far from the 128,000 of its closest competitor).

To find out more about how generative artificial intelligence is being incorporated into conversational commerce solutions, our automations with our Bot Manager solution or mass campaigns with Reach & Engage, we invite you to take part in our online event “Generative AI and Digital Attention” to be held this Thursday, April 18th.

In addition, Gemini will be one of the main protagonists of the day, with the presentation of Paula Carrillo, Customer Engineering Manager, in which we will learn more about this and other services based on generative artificial intelligence.