Meta development new AI modelis designed to power video and user feed recommendations and could be a game-changer for the online commerce landscape.
New AI models could benefit advertisers by directing viewers to more relevant results, experts say.Meta progress unfolds with far-reaching implications Industry initiatives Improve online search results through the application of AI.
“Advertisers still need to be very specific about how their ads are recommended,” said Ben Steele, an AI content developer and social media marketer. big phone storesaid in an interview with PYMNTS. “Upgrading Meta’s recommendation algorithms could mean advertisers don’t have to spend as much effort understanding who their target audience is. Even companies with smaller budgets will benefit from being able to achieve the same level of highly specific recommendations as Meta.” Larger companies are enjoying it. ”
new AI system
Facebook chief Tom Allison said at a Morgan Stanley technology conference that Meta has traditionally used separate AI models to recommend content across different services such as Reels, Groups and Feed. Ta.
The company’s technology efforts began by upgrading its recommendation system from traditional CPUs to more robust graphics processing units (GPUs) to improve efficiency. Recently, the focus has shifted to exploring how large-scale language models (LLMs) and generative AI can revolutionize recommendation mechanisms.
“Instead of just powering Reels, we’re working on a project to power the entire video ecosystem with this one model.Then we’ll add a feed recommendation product that we can offer in this model as well. Can you do it.” Alison said. “If we get this right, we think it will not only make the recommendations more engaging and relevant, but also make them more responsive.”
Meta’s new recommendation algorithm is intended to work the same across all products.
“It’s not yet clear how big this will be, but it’s possible we could launch a product recommendation system similar to how ChatGPT works,” Steele said. “LLM can recommend products that are highly specific to a user’s query based on web search and training data.”
Allison explained that Meta is gathering a lot of GPUs to help with AI projects such as creating digital helpers. Meta plans to add even better chat features to the main page, so if you’re curious about Taylor Swift, you can ask Meta’s AI for more information. We’re also experimenting with features in Facebook groups like Baking Enthusiasts, where you can request and get answers to AI questions about recipes, making it easier to learn and interact.
Privacy and relevance
Enhanced AI recommendation technology may serve you content that is more tailored to your preferences. star kashmanThe lawyer, who specializes in cybersecurity and privacy law, pointed out that AI can analyze huge data sets with surprising accuracy.
“Viewers are exposed to content that more closely aligns with their interests and behaviors, increasing user engagement and conversion rates,” she said.
However, Kashman pointed out that there are potential drawbacks to this new technology. He said AI could make online shopping and social media “more addictive and dangerous.”
Kashma said AI is key to generating customized content, improving search engine performance and personalizing online shopping recommendations.
“In order to compete, companies must keep abreast of these advances,” Kashman said. “A culture of innovation must be fostered through investments in AI technology, training, regulation and education. In this way, companies can refine their marketing strategies and revolutionize the way they interact with customers. Yes, but you must use AI ethically and transparently.”
