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The paper extends RLVE framework to multi-turn e-commerce conversations, presenting EcomRLVE-GYM for training shopping agents with algorithmically verifiable rewards.
Pinterest shares their technique of request-level deduplication to manage infrastructure costs when scaling recommendation systems with 100x increased model parameters.
Team USA built an AI pose estimation system with Google Cloud for Winter Olympics athlete analysis.
Waypoint-1.5 is Overworld's next-generation real-time video world model designed to bring interactive generative worlds to consumer hardware.
Safetensors, a secure model serialization format, has joined the PyTorch Foundation as a vendor-neutral community project.
TorchTPU is Google's native PyTorch integration for TPUs, enabling high-performance ML workloads on custom ASIC hardware with minimal code changes.
Falcon Perception is a 0.6B-parameter early-fusion Transformer for open-vocabulary object grounding and segmentation from natural language prompts.
OpenMed built an end-to-end mRNA optimization pipeline that trains transformer language models for codon optimization across 25 species, comparing architectures to achieve state-of-the-art biological codon preference prediction.
This post introduces continuous checkpointing in Orbax and MaxText, a feature designed to maximize training reliability and I/O utilization with minimal performance overhead.
This post describes how Lyft built a Bayesian hierarchical tree model to predict rider conversion in real-time under sparse data conditions.
Tevogen Bio partnered with Microsoft and Databricks to accelerate drug discovery using AI and large-scale data engineering.
Airbnb explains how COVID broke their booking-to-trip forecasting models and the architectural changes they built to handle structural data shifts.
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Pinterest
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