DatabricksAnnouncing Hybrid Search General Availability in Mosaic AI Vector Search
Announcing hybrid search general availability in Mosaic AI Vector Search
NetflixImprove Your Next Experiment by Learning Better Proxy Metrics From Past Experiments
Leverage historical experiments to understand the relationship between proxy metrics and north star metrics for better decision-making and innovation.
MetaRETINAS: Real-Time Infrastructure Accounting for Sustainability
Introducing a new metric for real-time server fleet utilization effectiveness to reduce emissions and achieve net zero emissions by 2030 through the RETINAS initiative.
AWS MLAWS empowers sales teams using generative AI solution built on Amazon Bedrock
Empowering sales teams with generative AI solution on Amazon Bedrock for personalized and efficient customer engagements.
How to form simple past verbs in English and when to use them
Master forming simple past verbs in English and understand their usage
CloudflareExploring Internet and security trends during the 2024 U.S. Democratic National Convention
Analyzing internet and security trends during the 2024 U.S. Democratic National Convention.
Apple MLPositional Description for Numerical Normalization
Enhancing numerical normalization in language models through a Positional Description Scheme for digit sequences.
Google CloudChoosing between self-hosted GKE and managed Vertex AI to host AI models
Comparing self-hosted GKE and managed Vertex AI for AI model hosting
Google CloudMaximize your LLM serving throughput for GPUs on GKE — a practical guide
Maximize LLM serving throughput on GPUs with GKE using automation tools and infrastructure optimizations.
MetaHow PyTorch powers AI training and inference
Exploring PyTorch advancements for LLMs in AI training and inference
AWS MLBuild private and secure enterprise generative AI applications with Amazon Q Business using IAM Federation
Build private and secure enterprise generative AI applications with Amazon Q Business using IAM Federation
Google DeepMindFermiNet: Quantum physics and chemistry from first principles
FermiNet leverages deep learning neural networks to accurately solve quantum mechanical equations from first principles, advancing computational quantum chemistry and enabling precise modeling of electronic ground and excited states in molecules.