
Introducing Hyperdisk Balanced, a new storage option for stateful Kubernetes workloads
Introducing Hyperdisk Balanced: A new storage option for stateful Kubernetes workloads with fine-tuned throughput, performance, and capacity management

A secure approach to generative AI with AWS
Innovating secure generative AI workloads with AWS Nitro System for industry-leading security capabilities

Manage your Amazon Lex bot via AWS CloudFormation templates
Automate and manage your Amazon Lex bot with AWS CloudFormation templates

Distributed training and efficient scaling with the Amazon SageMaker Model Parallel and Data Parallel Libraries
Efficient scaling of large language models using Amazon SageMaker Model Parallel and Data Parallel libraries

Announcing General Availability of Ray on Databricks
The blogpost announces the general availability of Ray support on Databricks, highlighting the harmonious integration between Ray and Spark, empowering new applications, and enhancing data science workflows.

Automating Complex Business Workflows with Cohere: Multi-Step Tool Use in Action
Enhance business workflows by leveraging multi-step tool use with Cohere's Command R and R+ models for seamless automation and optimization.

The art of data development for Enterprise LLMs
Unlocking the potential of large language models (LLMs) for enterprise applications through data customization and domain-specific models

Hindsight PRIORs for Reward Learning from Human Preferences
Using Hindsight PRIORs to enhance reward learning efficiency and performance in Preference-based Reinforcement Learning.

DDoS threat report for 2024 Q1
Explore key insights and trends in the DDoS threat landscape for 2024 Q1 based on Cloudflare's report.
Dear Duolingo: What are the different writing systems around the world?
Exploring the diverse writing systems worldwide and their unique characteristics

Vanishing Gradients in Reinforcement Finetuning of Language Models
Uncovering the challenges of vanishing gradients in reinforcement finetuning of language models.

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Proposing Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals with Transformer-based architecture