Open Source Summit Europe 2024: Open AI + Data Forum
2024-09-16..2024-09-18
Vienna, Austria
[Open Source Summit Europe 2019, Open Source Summit Europe 2022, Open Source Summit Europe 2022: Open AI + Data Forum, Open Source Summit Europe 2023, Open Source Summit Europe 2024, Open Source Summit Europe 2024: Open AI + Data Forum, Open Source Summit Europe 2025]
who it's for
ai and machine learning engineers, platform engineers, data engineers, open source program officers, ml product managers, edge and hardware engineers, developer advocates
topics
TF-IDF on clustered embeddings; Llama family LLMs; RISC-V AI extensions; integrated and attached matrix extensions; Model Openness Framework; Open Source AI Definition; retrieval augmented generation (RAG); autonomous AI agents; vector database scaling (Milvus); Delta Lake with Trino and Delta Sharing; DataOps for school connectivity; generative conversational AI interoperability
| title | author | length |
|---|---|---|
| Combining the Best of Two Worlds: From TF-IDF to Llama LLM | William Galindez Arias | 39m |
Pipeline ingests years of GitLab support questions, applies spaCy entity ruler and regex rules to extract custom entities like GitLab version (detecting GitLab… | ||
| Lightning Talk: RISC-V and AI: How an Open-Standards ISA Underpins Portability f... | Philipp Tomsich | 09m |
RISC-V adds standardized AI extensions so vendors can drop in domain-specific accelerators while sharing the same OS and toolchain; Meta and Google are taping… | ||
| Panel: Why Open Source AI Matters for Europe | Justin Colannino, Sachiko Muto, Stefano Maffulli | 48m |
Panel claims an actionable definition is near: open source AI definition draft 009 lists required components (training code, dataset provenance, weights) and… | ||
| Lightning Talk: Building the AIverse: Standardizing Autonomous AI Agents for a Decent... | Chris Xie | 24m |
Proposes a standardized AI OS with modular kernel components (RAG, memory, planning, action) and open protocols; demonstrates a local Docker-hosted agent… | ||
| Global School Connectivity DataOps Platform | Shilpa Arora | 39m |
An open source end to end DataOps stack manages connectivity and infrastructure for 2.1 million mapped schools with a goal of 6 million, and delivers daily… | ||
| Reducing Bias in AI with Open Source | Abubakar Siddiq Ango | 43m |
AI models skew toward Western perspectives because training data and tokenization favor English — 7 tokens vs 16 tokens for the same sentence in English and… | ||
| Towards Useful, Reliable, and Scalable AI Agents | Tomas Dvorak | 39m |
Open-source JavaScript/TypeScript stack called B agent framework plus B code interpreter runs agents with sandboxed Python on Kubernetes, uses Llama-family… | ||
| Unleashing Collective Genius: Building GenAI Through Open Collaboration | Anni Lai | 40m |
Generative AI Commons, launched about a year ago, publishes two concrete outputs: the Model Openness Framework (MOF) that inventories 16 model components and… | ||
| Introducing Open Platform for Enterprise AI | Arun Gupta | 38m |
Launch of Open Platform for Enterprise AI (OPEA) proposes a composable framework of about 20 microservices (embeddings, retriever, ranker, guardrails, data… | ||
| The Open Source AI Definition Is (Almost Ready) | Stefano Maffulli, Justin Colannino | 42m |
A Release Candidate of an Open Source AI Definition claims a concrete, testable standard: require access to weights and inference code, tokenizers, and… | ||
| Beyond the Buzz: Navigating AIs Myths and Realities | Ezequiel Lanza | 32m |
Argues that most “AI everywhere” claims are hype and gives concrete counters: Kaggle winners often use classical ML not Transformers, using Transformers for… | ||
| Design Thinking: Generative AI Style | Martin Hickey, Donal Madden | 43m |
An agent pair automates design thinking by turning user requirements into technical epics and then into starter stories: a product‑owner design‑thinker agent… | ||
| Towards Industrial AI Governance Inspired by OSPO: A Primer | Zoran Jovanovic | 44m |
Volvo Cars adapts an OSPO playbook to industrial AI by formalizing roles, policies and processes rather than policing behavior. A OpenChain-conformant OPO is… | ||
| Generative Conversational AI Interoperability | Diego Gosmar | 31m |
Claims a concrete spec set — Universal API JSON envelope and manifest discovery — that lets heterogeneous assistants exchange utterances, invites and state… | ||
| Milvus: Scaling Vector Data Solutions with Gen AI | Stephen Batifol | 37m |
Milvus is an open source, cloud‑native vector database that runs stateless on Kubernetes using built on MinIO and Kafka for storage and change capture, offers… | ||
| Simplifying Generative AI App Development Why Standards Matter | Katherine Druckman, Ezequiel Lanza | 33m |
Open Platform for Enterprise AI (OPA) claims to be a vendor‑neutral, containerized reference architecture that assembles embeddings microservice, retriever… | ||
| InstructLab: Applying Open Source Methods to Building and Trai... | Martin Hickey | 40m |
InstructLab lets contributors add domain skills or knowledge to a base open model without forking by using a taxonomy-driven workflow that generates… | ||
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