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Explore prebuilt Microsoft 365 Copilot agents MS-4019

Explore prebuilt Microsoft 365 Copilot agents MS-4019

Practical AI Tips: Making Communication More Efficient

Practical AI Tips: Making Communication More Efficient

Veeam Data Platform: Security Best Practices

Veeam Data Platform: Security Best Practices

Powering Your Generative AI Workloads with AMD and Open-Source ROCm – Farshad Ghodsian

Powering Your Generative AI Workloads with AMD and Open-Source ROCm – Farshad Ghodsian

Hallucination-Free LLMs: Strategies for Monitoring and Mitigation – Wojtek Kuberski, NannyML

Hallucination-Free LLMs: Strategies for Monitoring and Mitigation – Wojtek Kuberski, NannyML

Accelerating the LLM Lifecycle on the Cloud – Luca Antiga, Lightning AI

Accelerating the LLM Lifecycle on the Cloud – Luca Antiga, Lightning AI

From OpenAI to Opensource AI: Navigating Between Commercial Ownership and Coll… – Raphaël Semeteys

From OpenAI to Opensource AI: Navigating Between Commercial Ownership and Coll… – Raphaël Semeteys

Building Reproducible ML Processes with an Open Source Stack – Einat Orr, Treeverse

Building Reproducible ML Processes with an Open Source Stack – Einat Orr, Treeverse

Introduction to Distributed ML Workloads with Ray on Kubernetes – Abdel Sghiouar, Google Cloud

Introduction to Distributed ML Workloads with Ray on Kubernetes – Abdel Sghiouar, Google Cloud

Wikidata Knowledge Graph to Enable Equitable and Validated Ge… – Jonathan Fraine & Lydia Pintscher

Wikidata Knowledge Graph to Enable Equitable and Validated Ge… – Jonathan Fraine & Lydia Pintscher

Designing AI for Network Troubleshooting: A Langchain Proof of Concept – Jesus Illescas, Cisco

Designing AI for Network Troubleshooting: A Langchain Proof of Concept – Jesus Illescas, Cisco

Between Public Benchmarks and Business Needs – Lukasz Borchmann, Snowflake

Between Public Benchmarks and Business Needs – Lukasz Borchmann, Snowflake

Advancing Responsible AI: Unveiling the Software Carbon Efficiency Rat… – Chris Xie & Tereze Gaile

Advancing Responsible AI: Unveiling the Software Carbon Efficiency Rat… – Chris Xie & Tereze Gaile

The Dark Side of AI: The Hidden Supply Chain Risks in Open… – Jossef Kadouri & Tzachi Zornshtain

The Dark Side of AI: The Hidden Supply Chain Risks in Open… – Jossef Kadouri & Tzachi Zornshtain

Examining the Principles of Observability and Its Relevance in LLM… – Guangya Liu & Jean Detoeuf

Examining the Principles of Observability and Its Relevance in LLM… – Guangya Liu & Jean Detoeuf

Building a Data Infrastructure for AI/ML – Keith Pijanowski, MinIO

Building a Data Infrastructure for AI/ML – Keith Pijanowski, MinIO

AI and Incident Management: How to Reduce Manual Work and Speed up the Incident… – Birol Yildiz

AI and Incident Management: How to Reduce Manual Work and Speed up the Incident… – Birol Yildiz

Towards a Practical Ethics of Generative AI – Geert Hofman

Towards a Practical Ethics of Generative AI – Geert Hofman

Best Practices for GenAI applications on AWS – RAG pipeline Eval – Part 3 | Amazon Web Services

Best Practices for GenAI applications on AWS – RAG pipeline Eval – Part 3 | Amazon Web Services

AI adoption best practices

AI adoption best practices

Best Practices for GenAI applications on AWS – Model Selection – Part 2 | Amazon Web Services

Best Practices for GenAI applications on AWS – Model Selection – Part 2 | Amazon Web Services

Best Practices for GenAI applications on AWS – Model Selection – Part 1 | Amazon Web Services

Best Practices for GenAI applications on AWS – Model Selection – Part 1 | Amazon Web Services

MegaBytes- Cloud Opennebula

MegaBytes- Cloud Opennebula

MegaBytes- cc opennebula

MegaBytes- cc opennebula

Lessons learned optimizing Microsoft’s internal use of Azure

Lessons learned optimizing Microsoft’s internal use of Azure