The Linux Foundation | Page 24 of 44 | Sebae Videos

HomeCategory: The Linux Foundation (Page 24)

Dynamic Growth of Kernel Stacks – Pasha Tatashin

Dynamic Growth of Kernel Stacks – Pasha Tatashin

MM mapcount madness – David Hildenbrand

MM mapcount madness – David Hildenbrand

SLUB: what’s next? – Vlastimil Babka

SLUB: what’s next? – Vlastimil Babka

KVM vCPU Priority boosting via BPF (Vineeth Pillai)

KVM vCPU Priority boosting via BPF (Vineeth Pillai)

DAMON Updates and Plans: Automation of DAMON tuning, tiering, and VM guest scaling – SeongJae Park

DAMON Updates and Plans: Automation of DAMON tuning, tiering, and VM guest scaling – SeongJae Park

Keynote: Welcome Back – Ibrahim Haddad, Executive Director, LF AI & Data Foundation

Keynote: Welcome Back – Ibrahim Haddad, Executive Director, LF AI & Data Foundation

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