AWS MLBuild a generative AI-based content moderation solution on Amazon SageMaker JumpStart
Introducing a method for content moderation on image data using multi-modal pre-training and a large language model, enabling users to interact with images to confirm inappropriate content and generate structured JSON output.
Modular AIModular: Mojo🔥: A journey to 68,000x speedup over Python - Part 3
Exploring the journey to achieve a remarkable 68,000x speedup over Python through the use of Mojo🔥 in this third part of the blog series.
Snorkel AIHow we increased or ML on Kubernetes capabilities and saved cloud costs
Improving ML capabilities on Kubernetes and reducing cloud costs
PinterestMLEnv: Standardizing ML at Pinterest Under One ML Engine to Accelerate Innovation
This blogpost discusses the implementation of MLEnv at Pinterest, a standardized ML engine that has resulted in improved ML developer velocity, ML platform productivity, and collaboration across teams.
MetaWhat’s it like to write code at Meta?
Insights into writing code at Meta's scale and the experiences of software engineers at Meta.
DuolingoDear Duolingo: Are any words the same in all languages?
The blogpost explores two words that are universally shared by all languages and their significance.
DatabricksAnnouncing Databricks Bengaluru Development Center
Announcement of the opening of Databricks' Bengaluru Development Center and the expansion of their R&D teams in India
CloudflareConnection coalescing with ORIGIN Frames: fewer DNS queries, fewer connections
Exploring connection coalescing with ORIGIN Frames and its management at a large scale
DatabricksShared Clusters in Unity Catalog for the win: Introducing Cluster Libraries, Python UDFs, Scala, Machine Learning and more
Running more workloads on Databricks' multi-user clusters with security improvements.
DatabricksWhat’s New for Shared Clusters in Unity Catalog
Enhancements to onboard more workloads to Unity Catalog clusters in shared access mode
CloudflareImproving Worker Tail scalability
Enhancements to Workers Tail allow for enabling it at any size and scale
AWS MLElevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting
Introducing streaming support in Amazon SageMaker hosting for interactive generative AI applications, including chatbots, virtual assistants, and music generators.