5 Amazing Ways Meta (Facebook) Leverages Generative AI

Generative AI refers to a trending class of machine learning applications capable of creating new data, including text, images, video, or sound, based on a large dataset on which it was trained. Examples of generative AI applications are ChatGPT – the fastest growing application of all time, as well as imaging tools like Dall-E and Stable Diffusion.

Experts are now predicting that this technology will revolutionize every industry, impacting the products and services we consume and the way we work. Here’s a look at some ways Meta is implementing these powerful tools on its platforms, as well as some ideas on how it might impact its ongoing plans to take us all into the Metaverse.

Generative Advertising

Facebook — Meta’s largest platform and the largest social network in the world — makes most of its money by allowing businesses to run ads on its pages. Now it is time has said that it will make generative AI tools available to these companies as the first commercialization of its own generative AI technology.

The company is expected to release tools later this year that will allow businesses to automate the creation of multiple versions of ads with different text and images for different audiences. It could automatically refine elements like the language used, the colors, and even the role of celebrities and influencers in promotions to appeal to different groups of people based on their age, interests, or the part of the world they live in.

Generative AI-powered chat

CEO Mark Zuckerberg said a focus is on creating “AI personas that can help people in a variety of ways.” It’s likely that this is related to plans to integrate generative AI into the company’s chat technology. This would allow talking to these characters through the company’s chat platforms – the largest of which are Whatsapp and Messenger – to interact with Meta’s various services. It could also allow companies to implement these services on their own Facebook pages and WhatsApp channels, effectively allowing each company to offer its own automated, AI-powered customer service and feedback agents.

image generation

Meta’s Facebook AI department has developed its own image generation technology, which it has named Instance-based generative adversary networks (IC GAN). According to the researchers, unlike traditional GAN-based image generators, it can create images that are more diverse than those contained in their training datasets. Since one of the most useful uses of generative AI is expected to be in creating synthetic data to train other machine learning algorithms, this means that it will potentially be able to create a larger set of real-world training data from a smaller set of synthetic training data. This has the potential to reduce the cost of generating, collecting, and storing data to train AI algorithms. There is also a generative text-to-video AI application called make a videowhich the company says it intends to integrate into its short video platform Reels in the future.

Natural Language Generation

Language-based Generative AI applications such as the above chat features are likely to be supported by LLaMA – Large Language Model Meta AI – at some point. Meta’s own answer to ChatGPT and Google’s Bard.

LLaMA is deliberately designed as a smaller language model – its largest model is trained on 65 billion parameters, as opposed to the 1 trillion parameters reported by GPT-4. This has the advantage of requiring less computing power and retraining resources to test new approaches and use cases. Smaller models with up to 7 billion parameters are available. Models like this could potentially run on far smaller devices than the cloud servers needed for ChatGPT or Bard – potentially paving the way for standalone instances running on PCs or even smartphones. This could have important implications for companies that want to use generative language models while keeping their data private.

Generative AI and the Metaverse

In late 2021, the company formerly known as Facebook renamed itself Meta and stated that its future lay in the Metaverse. There is much debate about the exact meaning of this term, but it usually refers to an iteration of the “next generation” internet with more immersive environments, possibly rendered in virtual reality (VR), avatars, and a shared online experience.

Since then, Meta’s stock price has plummeted, the company has carried out a spate of layoffs, and revenue from its advertising platforms has plummeted. Some commentators have attributed at least some of this to the company’s — and Zuckerberg’s in particular — focusing on its leap into the metaverse — a concept that hasn’t been enthusiastically embraced by the public so far.

Yet while Meta and Zuckerberg have shifted their focus to AI in recent months, they still stand by their opinions to some extent. They claim that the metaverse will be a key component of their AI vision.

Meta’s own Metaverse platform Horizons is built on creativity and specifically designed to allow users to build their own homes and environments within the VR environment. The company has clearly indicated that this is where its generative AI technology will come into play. CTO Andrew Bosworth said, “In the future, maybe you can just describe the world you want to create and let the big language model generate that world for you.”

“And so things like content creation become a lot more accessible to more people.”

This could well mean that the company hopes to increase adoption of its virtual world environment by making it much easier for users to get started and create their dream metaverse home, rather than having to learn how to use a complex UI to build and position 3D structures. They’re probably hoping that this democratizing effect will be the catalyst for more of its billion-plus customers to make the leap from Facebook’s two-dimensional pages to Horizons’ three-dimensional worlds.

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