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Adapting the Facebook Reels RecSys AI Model Based on User Feedback
6+ hour, 52+ min ago (177+ words) By weighting responses to correct for sampling and nonresponse bias, we built a comprehensive dataset that accurately reflects real user preferences " moving beyond implicit engagement signals to leverage direct, real-time user feedback. The UTIS model outputs the probability that a…...
Efficient Optimization With Ax, an Open Platform for Adaptive Experimentation
1+ mon, 3+ week ago (571+ words) This year, we released version 1.0 of Ax, an open source adaptive experimentation platform that leverages machine learning to guide and automate the experimentation process. Ax employs Bayesian optimization to enable researchers and developers to conduct efficient experiments, identifying optimal configurations…...
Meta’s Generative Ads Model (GEM): The Central Brain Accelerating Ads Recommendation AI Innovation
2+ mon, 4+ day ago (467+ words) Meta has been at the forefront of harnessing AI across our products and services to drive business value for advertisers. Leveraging advanced techniques to personalize ads for people and maximize the performance of each ad impression is an integral part…...
Video Invisible Watermarking at Scale
2+ mon, 1+ week ago (449+ words) Bringing an invisible watermarking solution to production at scale presents many challenges. In this blog post, we'll discuss how we overcame challenges with deployment environments, bitrate increases, and visual quality regressions to adapt to real-world use cases. In today's digital…...
Scaling LLM Inference: Innovations in Tensor Parallelism, Context Parallelism, and Expert Parallelism
2+ mon, 4+ week ago (420+ words) The rapid evolution of large language models (LLMs) has ushered in a new era of AI-powered applications, from conversational agents to advanced content generation. However, deploying these massive models at scale for real-time inference presents significant challenges, particularly in achieving…...
LLMs Are the Key to Mutation Testing and Better Compliance
3+ mon, 2+ week ago (1070+ words) Today, AI is accelerating the pace and complexity of technology development worldwide, requiring compliance systems to keep up. However, compliance has traditionally relied on manual processes, which can be error-prone and challenging to scale. Earlier this year, we released new…...
AssetGen: Generating 3D Worlds With AI
3+ mon, 2+ week ago (238+ words) Imagine being able to use AI to create 3D virtual worlds using prompts as easily as you can generate images. The intersection of AI and VR was one of the biggest topics at Meta Connect this year. In his keynote, Mark…...
Accelerating on-device ML on Meta’s family of apps with ExecuTorch
5+ mon, 2+ week ago (441+ words) Over the past year, we've rolled out ExecuTorch, an open-source solution for on-device inference on mobile and edge devices, across our family of apps (FoA) and seen significant improvements in model performance, privacy enhancement, and latency over our previous on-device…...
Policy Zones: How Meta enforces purpose limitation at scale in batch processing systems
5+ mon, 3+ week ago (706+ words) In this blog, we will deep dive into our Policy Zones approach for batch processing systems and how we use it to protect users" messaging data. These systems process data in batch (mainly via SQL), such as our exabyte data…...
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