AWS MLDeploy AI agents on Amazon Bedrock AgentCore using GitHub Actions
Automate secure AI agent deployment to Amazon Bedrock AgentCore Runtime with a GitHub Actions CI/CD pipeline, including OIDC-based authentication, containerization via ECR, automated tests, and integrated security scans.
AWS MLFrom beginner to champion: A student’s journey through the AWS AI League ASEAN finals
A technical narrative of a late-entry student’s AWS AI League journey across the ASEAN finals, detailing practical fine-tuning workflows for LLMs with SageMaker JumpStart and PartyRock, real-world LoRA tuning, synthetic data strategies, dataset curation, and the balancing act between data quality, hyperparameters, and evaluation constraints to achieve top placement.
AWS MLHow Palo Alto Networks enhanced device security infra log analysis with Amazon Bedrock
A scalable, cost-efficient automated log classification pipeline using Amazon Bedrock, Claude Haiku, and Titan Text Embeddings to transform reactive device security log monitoring into proactive, real-time issue detection.
AWS MLAdvanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale
Explores production-grade, fine-tuned LLMs for scalable agentic AI in multi-agent orchestration, detailing techniques from SFT to PPO, DPO, GRPO, DAPO, GSPO and real-world Amazon deployments on AWS Bedrock and SageMaker.
CloudflareAstro is joining Cloudflare
Astro joins Cloudflare to accelerate content-driven websites with Astro 6, a Vite-powered dev server and islands architecture, while staying open source and platform-agnostic.
SalesforceHow a Mock LLM Service Cut $500K in AI Benchmarking Costs, Boosted Developer Productivity
Salesforce engineers reveal how an internal mock LLM service eliminated external token costs, saving over $500K annually, while speeding performance validation, scaling tests, and increasing developer velocity through deterministic latency and controlled failover simulations.
GitHubWhen protections outlive their purpose: A lesson on managing defense systems at scale
Managing defense systems at scale requires observability and strict lifecycle management to prevent emergency protections from becoming permanent false positives that disrupt legitimate users.
DatabricksBuilding your AI skillset: Accelerate your career with Databricks Certifications
Accelerate your data and AI career by earning Databricks certifications that validate hands-on, production-ready expertise for enterprise-scale AI initiatives.
OpenAIStrengthening the U.S. AI supply chain through domestic manufacturing
A technical roadmap for strengthening the U.S. AI supply chain by scaling domestic manufacturing.
Google CloudIntroducing BigQuery managed and SQL-native inference for open models
BigQuery enables SQL-native, managed inference for open models, unifying deployment, inference, and cost control across providers via CREATE MODEL and a streamlined SQL workflow.
OpenAIInvesting in Merge Labs
A concise, technical exploration of the strategic and financial considerations in investing in Merge Labs, focusing on market potential, product strategy, and risk assessment.
Google CloudClosing the Door on Net-NTLMv1: Releasing Rainbow Tables to Accelerate Protocol Deprecation
Releasing Net-NTLMv1 rainbow tables to accelerate protocol deprecation and empower defenders with practical remediation guidance.