MIT AIMIT launches Working Group on Generative AI and the Work of the Future
Exploring the impact of generative AI on future jobs through a collaborative working group at MIT.
Google AIAutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
Automating interpretable time series forecasting with probabilistic neural networks based on compositional Bayesian approaches
ElevenLabsFour Improvements we've added to Dubbing Studio
Enhancing control and efficiency with four key additions to Dubbing Studio for seamless content localization
Google CloudNavigating the cross-cloud network: 12 must-attend networking and network security sessions at Next ‘24
Explore top networking and security sessions at Google Cloud Next '24 for cross-cloud network design and cybersecurity innovations
Google CloudCloud CISO Perspectives: Get ready for Next ‘24: What you need to know
Evolving cybersecurity trends and innovations for the future of cloud security at Google Cloud Next '24
Ink and Switch09 · Version history as chat
A blogpost on integrating version history with chat interface for collaborative document editing.
Modular AIModular: Leveraging MAX Engine's Dynamic Shape Capabilities
Exploring dynamic shape capabilities in MAX Engine for machine learning models with a focus on BERT model latency comparison.
Modular AIModular: The Next Big Step in Mojo🔥 Open Source
Empowering open development with core modules from Mojo standard library released under Apache 2 license by Modular
Modular AIModular: MAX 24.2 is Here! What’s New?
Explore the latest features in MAX 24.2 including open sourcing the Mojo standard library, MAX Engine enhancements, and new features in Mojo 🔥.
AirbnbIntroducing Trio | Part I
A technical blogpost series introducing Trio, an architecture for Compose UI with Mavericks in the Airbnb Android app.
AWS MLEfficient continual pre-training LLMs for financial domains
Guide on training efficient continual pre-training large language models (LLMs) for financial domains
AWS MLAdvanced RAG patterns on Amazon SageMaker
Improving RAG patterns for generative AI applications using Mixtral-8x7B on Amazon SageMaker through LangChain and parent document retriever for advanced response accuracy.