Meta Unveils Ambitious Plans for AI-Powered Video Ecosystem
As part of its AI push, Meta has allocated substantial resources to procure Nvidia graphics processing units (GPUs), which have emerged as a primary tool for training large language models (LLMs) used in AI applications.
Meta, formerly known as Facebook, is gearing up to revolutionize its video ecosystem with the development of a sophisticated AI model, according to Tom Alison, the head of Facebook. Speaking at Morgan Stanley’s tech conference in San Francisco, Alison revealed that Meta is actively working on an AI recommendation model intended to drive its entire video recommendation engine across all its platforms.
This initiative forms a crucial part of Meta’s long-term technology roadmap extending to 2026. Meta's investment in artificial intelligence includes the creation of an AI system designed to power video recommendations for various products, including the TikTok-like Reels service and traditional longer videos, according to CNBC report.
Historically, Meta has employed separate models for different products, such as Reels and the core Facebook Feed. However, the company is now consolidating its efforts to develop a unified AI model capable of serving recommendations across its diverse range of video platforms.
As part of its AI push, Meta has allocated substantial resources to procure Nvidia graphics processing units (GPUs), which have emerged as a primary tool for training large language models (LLMs) used in AI applications. Meta's transition to GPU-based recommendation systems has already demonstrated tangible improvements in product performance.
Meta's exploration into LLMs highlighted the potential for a single, versatile recommendation model applicable across multiple products. The company developed a new model architecture and successfully tested it on Reels, resulting in a significant increase in watch time. Building on this success, Meta is now focused on validating and deploying the technology across its entire video ecosystem.
Meta aims to offer more personalized and engaging content recommendations while improving the responsiveness of its platforms. If successful, Meta's AI-driven video ecosystem could transform the way users interact with content across its various platforms, ushering in a new era of innovation in digital media and communication.
