New AWS course: Mastering Memory Systems in AI Agents

🎉 Exciting news! Deepchecks has officially achieved the AWS Generative AI Competency This recognition from Amazon Web Services (AWS) highlights our proven expertise in helping customers implement, validate, and govern generative AI systems at scale, turning experimentation into production-ready AI. With Deepchecks, AI teams can automate validation, ensure compliance, and measure progress across their LLM workflows directly within AWS. 💡 Through the Partner AI Apps Program, Deepchecks is one of only a few hand-picked solutions available natively in SageMaker AI, meaning customers can now run LLM evaluation securely inside their AWS environment with no external setup needed. This milestone reflects our ongoing collaboration with AWS to build trustworthy, auditable, and high-performing AI systems for enterprise environments. Learn more about how Deepchecks works with AWS 👉 https://lnkd.in/eJwMGHBf #GenerativeAI #SageMaker #Bedrock #LLMEvaluation #AISafety

I'm excited to share insights on streamlining vLLM deployment for production environments at re:Invent in Las Vegas, Nevada. In our chalk talk "AIM352 | Streamlining vLLM deployment for production with AWS DLCs on EKS," I'll walk you through proven strategies for leveraging AWS Deep Learning Containers on Amazon EKS to optimize your large language model deployments. We'll explore real-world scenarios, discuss performance optimization techniques, and share best practices for scaling AI workloads effectively. This interactive session is designed to provide you with practical knowledge you can immediately apply to your production environments. I'd love to see you there and answer your questions about vLLM deployment challenges. https://lnkd.in/gPAVs_KM #AWS #EKS #generativeAI #AI * The opinions described in this post are my personal opinions and are not attributable to AWS

Implementing AI Agents in your org? From automating operations to powering real-time decision-making, AI agents are becoming the new enterprise backbone. And AWS is leading the way. With tools like Bedrock, SageMaker, and Lambda, AWS is enabling teams to build, deploy, and scale agents with unmatched control and reliability. In our new e-guide “AI Agents at Scale”, we dive deep into AWS’s world of agentic AI. In the guide, we break down how organizations are: → Designing purpose-built AI agents using AWS tools → Embedding security, trust, and guardrails from day one → Turning prototypes into scalable, production-grade systems If you’re leading AI transformation in your organization, this is a must-read. Download the full guide: https://lnkd.in/gRWTBf2n Want to get hands-on? Explore our AWS GenAI Essentials training: https://lnkd.in/gs3QGY6x #AWS #AgenticAI #GenerativeAI #AIAgents #CloudComputing #AWSBedrock #SageMaker #NetComLearning

AWS has launched the DeepSeek-V3.1 model, a hybrid open weight model that seamlessly switches between detailed step-by-step analysis and quicker responses. I found it interesting that this flexibility could greatly enhance decision-making processes across various applications. How do you think such advancements in AI could transform your industry?

🚀 Building LLM Judges that Scale Join SuperAnnotate & Amazon Web Services (AWS) for a deep dive on designing robust LLM Judge systems that turbocharge AI evaluation. Learn how top teams use models on Amazon Bedrock for judging—and sharpen accuracy with human-in-the-loop annotation in SuperAnnotate. What to expect: 🧠 Judge patterns: grounded-ness, safety, relevance, and tool-use scoring ⚙️ Architecture: Bedrock + Guardrails/KBs + S3/SageMaker + SuperAnnotate workflows 🔁 Calibration loops: gold sets, regression gates, and continuous improvement 📊 Tradeoffs: balancing speed ⏱️, cost 💰, and quality ✅ Nneoma Okoroafor renée berry!

Build context-aware AI agents that remember & learn from every interaction with #AmazonBedrock AgentCore Memory 🧠⚡🎯 https://go.aws/4gKVHED #AgentCore Memory transforms stateless AI conversations into continuous, evolving relationships through intelligent short-term & long-term memory capabilities. Developers can now build agents that maintain context across sessions while ensuring secure, scalable memory management without complex infrastructure setup. Read the blog to learn more ⬆️ #AWS #agenticAI

When it comes to AI-focused support and ease of use, CoreWeave stands out for its direct, responsive assistance tailored to AI use cases. Unlike AWS, which requires navigating through various specialized teams, CoreWeave offers streamlined support from experts focused solely on AI, simplifying the process of building and deploying AI systems. CoreWeave's AI-centric interface and easy onboarding make it accessible for machine learning teams, while AWS, despite its power, presents a steeper learning curve due to its complexity and breadth of services. For general-purpose IT needs, AWS remains the superior choice, but for AI-specific tasks, CoreWeave provides a more focused and efficient solution. Considering a multi-cloud approach? Mixing CoreWeave with other hyperscalers could be beneficial but requires careful consideration of added complexity and costs. #AIsupport #CoreWeave #AWS #MachineLearning #CloudComputing #AISolutions

AWS has announced the Certified Generative AI Developer – Professional exam, starting beta on November 18. It’s for developers with solid AWS experience and hands-on GenAI skills, especially with services like Bedrock. This certification validates your ability to build and deploy production-grade AI solutions. Definitely the next certification I’m going for. Check it out : https://lnkd.in/gRhuJGX2 #AWS #GenerativeAI #GenAI #AI #Certification #Bedrock

AWS Launches DeepSeek-V3.1: A Game Changer in AI Models - What it is: AWS introduces DeepSeek-V3.1, a hybrid open weight model available in Amazon Bedrock. - Why it matters: This model enables detailed analyses in "thinking mode" while offering quicker responses in "non-thinking mode," enhancing efficiency for users. - Actionable step: Explore how to integrate DeepSeek-V3.1 into your applications by checking the AWS documentation. - Watch out: Keep in mind that hybrid models may require careful tuning to optimize performance for specific tasks. - Question: How do you think hybrid models like DeepSeek-V3.1 can transform your workflows? #AWS #AmazonBedrock #ArtificialIntelligence #DeepLearning #HybridModels #TechInnovation #AIApplications #MachineLearning #CloudComputing #DataAnalysis (Source: https://lnkd.in/dG8kKMyA)

AWS has just announced Amazon Quick Suite, bringing agentic AI capabilities to business intelligence. This is an exciting development for executives and decision-makers alike. Check this out: https://lnkd.in/d_zJcuZX https://lnkd.in/diaKiTCz Anup Deshmukh Madison Hsieh