Less than two years later, Facebook’s parent company Meta announced plans to “go all-out” with virtual reality and the Metaverse. So far, consumer engagement with these two initiatives has been overwhelming, but more recently, they’ve focused their efforts on one of the hottest topics in the tech world right now: generative AI.
Generative AI refers to a trending class of machine learning applications that can create new data such as text, images, video, or sound based on large trained datasets. Examples of generative AI applications include ChatGPT, the fastest growing application of all time, and image creation tools such as Dall-E and Stable Diffusion.
Experts now predict that this technology will disrupt every industry, impacting the products and services we consume and the way we work. Here are some of the ways Meta is implementing these powerful tools across its platform and how it affects their ongoing plans to put us all in the Metaverse. I’ll look into ideas.
generative advertising
Facebook – Meta’s largest platform and largest social network in the world. It mainly makes money by allowing businesses to place ads on its pages. Now, the company says it will provide generative AI tools to these companies as the first commercialization of its proprietary generative AI technology.
Later this year, it is believed that the company will release a tool that will allow companies to automate the creation of multiple versions of ads with different text and images aimed at different audiences. Elements like the language used, colors, and celebrities and influencers featured in promotions can be automatically fine-tuned to appeal to different groups of people depending on their age, interests, or where they live. .
Chat powered by generative AI
CEO Mark Zuckerberg has said one of the focuses is to create “AI personas that can help people in many ways.” This could lead to plans to incorporate generative AI into the company’s chat technology. This will allow you to converse with these characters via the company’s chat platforms (the largest being Whatsapp and Messenger) and interact with Meta’s various services. Businesses will also be able to implement these services on their Facebook page and Whatsapp channel, allowing any business to effectively implement their own AI-powered automated customer service and feedback his agents. will be available to
image generation
Meta’s Facebook AI division has developed a proprietary image generation technique named Instance-Conditioned Generative Adversarial Networks (IC-GAN). According to the researcher, unlike standard his GAN-based image generators, it can be used to create a greater variety of images than those contained in the training dataset. Since it is predicted that one of the most useful ways generative AI will be used is to create synthetic data for training other machine learning algorithms, this is due to the smaller set of synthetic training data. This means that it is possible to create a richer set of synthetic training data from . real training data. This potentially reduces the cost of generating, collecting, and storing data for training AI algorithms. There is also a generative AI application that converts text to video called Make-A-Video, which the short-form video platform he said he plans to incorporate into Reels in the future.
natural language generation
Language-based generative AI applications such as the chat feature above may eventually be powered by LLaMA (Large Language Model Meta AI – ChatGPT and Meta’s own answer to Google’s Bard).
LLaMA is intentionally designed as a smaller language model. Its largest model has been trained with 65 billion parameters, as opposed to 1 trillion parameters reported for GPT-4. The advantage of this is that less computational power and resources are required to retrain to test new approaches and use cases. Smaller models are available, up to 7 billion parameters. Such a model could potentially run on much smaller devices than the cloud servers required for ChatGPT or Bard, and could pave the way for self-contained instances running on personal computers and smartphones. This can 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 rebranded itself as Meta, declaring that its future lies in the Metaverse. Although there has been much debate about the exact meaning of the term, it is usually characterized by more immersive environments that may be rendered in virtual reality (VR), avatars, and shared online experiences. Refers to the “next generation” iteration of the Internet that
Since then, Meta’s stock price has plummeted, a wave of layoffs has followed, and revenues across the advertising platform have plummeted. Some commentators blame, at least in part, the company’s, and particularly Zuckerberg’s, focus on making the leap into the metaverse. This concept has not yet been enthusiastically adopted by the public.
But despite the shift in focus to AI in recent months, Meta and Zuckerberg are still somewhat steadfast in their claims. They argue that the Metaverse will be a key component of their AI vision.
Meta’s own metaverse platform, Horizons, is built around creativity and specifically designed to allow users to build their own homes and environments within VR environments. The company strongly suggests that generative AI technology comes into its own here. CTO Andrew Bosworth said: “In the future, you may be able to simply describe the world you want to create and have a large language model generate that world for you.
“So it becomes more accessible to more people for things like content creation.”
This allows the company to create virtual world environments by making it much easier for users to jump into their dream metaverse home and start creating, without having to learn to build and deploy using complex interfaces. It could mean that you want to increase the uptake of 3D structure. They hope this democratizing effect will catalyze more of their 1 billion+ customer base to make the leap from Facebook’s two-dimensional page to the three-dimensional world of Horizons. It seems that.
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