Meta Announces New Top-Level Product Group For Generative AI

These include people pulled in from Meta’s research organization, Fundamental AI Research, as well as some from product roles. CEO Mark Zuckerberg has said that one area of focus is on creating “AI personas that can help people in a variety of ways.” It’s likely that this would tie into plans to incorporate generative AI into the company’s chat technology. This would make it possible to talk to these characters via the company’s chat platforms – the largest of which are Whatsapp and Messenger – in order to interact with Meta’s various services.

And for general queries, maybe having additional checks and balances like Shepherd will also help to refine the results provided, or it’ll help developers in building better models to meet demand. So it’s getting better at providing automated feedback on why generative AI outputs are wrong, helping to guide users to probe for more information, or to clarify the details. Meta’s announcement comes after the company’s CTO Andrew Bosworth said last month that the company was looking to use generative AI tech for ads.

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But the technology is already seeping into ad products, as marketers rely on machines to slightly adjust ad creative and copy. While metaverse creation is on the company’s long-term plan, generating more ad revenue is probably the need of the hour. After Apple implemented its App Tracking Transparency feature in 2021, Meta was affected badly. Early last year, the social media company said that this change would cost them $10 billion in 2022.

Lex Fridman had Mark Zuckerberg, CEO of Meta, the company that owns Facebook, Instagram, and Whatsapp, on his podcast to discuss the future of AI at the company and for the world. AI Sandbox is currently being tried out by a “pretty small” number of advertisers, including the Yakov Livshits direct-to-consumer cosmetics brand Jones Road Beauty, which was present at the event. Writing for InfoQ has opened many doors and increased career opportunities for me. I was able to deeply engage with experts and thought leaders to learn more about the topics I covered.

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Esther Ajao is a news writer covering artificial intelligence software and systems. However, as AI becomes common in advertising and marketing, users of these tools must be more cautious because of risks of relying on AI algorithms. The new generative AI capabilities enable advertisers to develop different iterations of ads to address their audience and then deliver those ads at scale through Meta’s platform. Meta’s announcement indicated the program is currently avaialble to a limited number of advertisers as the capabilities are being tested and refined. The company expects to gradually expand generative AI feature access to other advertisers beginning in July. Meta has produced a lot of innovative generative AI research (e.g., here, here, and here), but much of it has been introduced only to academic researchers.

It could also allow businesses to implement these services into their own Facebook pages and Whatsapp channels, effectively allowing any business to offer its own automated, AI-powered customer service and feedback agents. Generative AI refers to a trending class of machine learning applications that are able to create new data, including text, images, video, or sounds, based on a large dataset on which it has been trained. Examples of generative AI applications include ChatGPT – the fastest-growing application of all time, as well as image creation tools such as Dall-E and Stable Diffusion. Text Variation generates multiple versions of copy to give an advertiser a choice of different messages for different audiences. Background Generation creates background images from text and enables an advertiser to test different backgrounds. Image Outcropping adjusts creative assets to fit different aspect ratios across various mediums, including stories and reels on various social platforms.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

How Meta, Google and Snap are embracing generative AI in advertising and beyond

Google, for one, sees a threat to its search dominance after Microsoft invested $10 billion into OpenAI and started to incorporate the AI into its consumer products, like Teams and Bing. The features enable businesses to use video creative in catalog ads, compare existing manual sales campaigns to Advantage Plus shopping campaigns and improve performance with a targeted audience. Notably, the AppMaster no-code platform offers an impressive suite of tools for creating web, mobile, and backend applications. It may well prove to be a valuable resource for companies like Meta looking to quickly and cost-effectively leverage AI and other advanced technologies. Meta’s focus seems to be pivoting strongly towards AI across all its apps even though it has claimed to be also heavily focused on its metaverse projects.

This model was trained on “20,000 hours of music owned by Meta or licensed specifically for this purpose.” AudioGen creates audio from written prompts, simulating barking dogs or footsteps, and was trained on public sound effects. An improved version of Meta’s EnCodec decoder lets users create sounds with fewer artifacts — which is what happens when you manipulate audio too much. While we’ve seen a lot of excitement around generative AI for images, video, and text, audio has seemed to lag a bit behind. There’s some work out there, but it’s highly complicated and not very open, so people aren’t able to readily play with it. Generating high-fidelity audio of any kind requires modeling complex signals and patterns at varying scales. Music is arguably the most challenging type of audio to generate as it’s composed of local and long-range patterns, from a suite of notes to a global musical structure with multiple instruments.

NEW YORK, June 8 (Reuters) – Facebook owner Meta Platforms (META.O) on Thursday gave employees a sneak peek at a series of AI tools it was building, including ChatGPT-like chatbots planned for Messenger and WhatsApp that could converse using different personas. Meta updated the Facebook help center resource section on its website this week to include a form titled “Generative AI Data Subject Rights,” which allows users to “submit requests related to your third party information being used for generative AI model training.” As one example, a user at an airport could ask the agent what to Yakov Livshits do in the city for a couple of hours during a layover. Users could also prompt the agent to respond to queries in specific styles, as you could with a text-based agent. While Ray-Ban Stories are sunglasses — and not likely appropriate for smart glasses with AI chat — Meta has been developing other tech in this space, like Project Aria and efforts from its Research Lab. During the call with investors, Zuckerberg had first teased Meta’s plans to explore “chat experiences” in WhatsApp and Messenger, as well as visual creation tools for posts on Facebook and Instagram, among other things.

• Google’s Search and YouTube businesses reported year-over-year ad sales declines of 2% and 8%, respectively.
• The precise meaning of this term has been much-debated, but it usually refers to a “next generation” iteration of the internet featuring more immersive environments possibly rendered in virtual reality (VR), avatars, and a shared online experience.
• Brands can share their target audience suggestions, which Meta’s system scans to see if it can identify people outside of those parameters who are likely to convert.
• Meta is touting AI in ads as the key to evolving in the new privacy landscape, where it has less data to track consumers, so it needs more sophisticated AI models to fill in the gaps.

Facebook owner Meta Platforms on Thursday gave employees a sneak peek at a series of artificial intelligence tools it is building, including chatbots ChatGPT-like chatbots planned for Messenger and WhatsApp that could converse using different personas. Taking recent trends into consideration, the demand for AI chatbots has skyrocketed. For example, Character.AI, a leading AI-chatbot app developed by researchers who previously helped build LaMDA (Language Model for Dialogue Applications) at Google, reported over 1.7 million new installs in less than a week on the market. The company is backed by $150 million in Series A funding led by Andreessen Horowitz (a16z). However, Character.AI faces competition from a plethora of chatbot apps available on the App Store, offering similar functionality for users to develop their AI characters, such as Replika or personal assistants that assist with writing. Furthermore, Meta announced plans to host an internal AI hackathon in July, focusing on generative AI.

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It has also proven to be adept at taking key elements of previous technologies, improving them, and creating successful products that almost kill its competitors on the ground they created. By open-sourcing key models like the leaked LLaMA LLM (the world’s largest, most advanced, open source LLM available), Meta aims to catalyze innovation from developers worldwide to improve the technology. Meta Advantage is also trying to help advertisers broaden their reach through Advantage+ audiences. Brands can share their target audience suggestions, which Meta’s system scans to see if it can identify people outside of those parameters who are likely to convert. Other AI perks include the ability to make small tweaks to creative, like adjusting the brightness or text placement in an ad, and a method for picking the best videos to display in Catalog ads. While AI Sandbox is the flashiest new offering Meta is launching, the company highlighted other AI-powered advertising services.