Attendees
Talks
Exhilarating days
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
MiniMax-01 comprises two open-source AI models—a 456B-parameter language model and a multimodal vision-language model—employing novel Lightning Attention architecture for 4M-token context windows at 90% lower costs, matching GPT-4o/Claude-3.5-Sonnet performance
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
OpenSeek aims to unite the global open source community to drive collaborative innovation in algorithms, data and systems to develop next-generation models that surpass DeepSeek.
Fully open reproduction of DeepSeek-R1
Moxin is a family of fully open-source and reproducible LLMs
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a fast serving framework for large language models and vision language models.
LLM inference in C/C++
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
No fortress, purely open ground. OpenManus is Coming.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Makepad is a creative software development platform for Rust that compiles to wasm/webGL, osx/metal, windows/dx11 linux/opengl
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
MiniMax-01 comprises two open-source AI models—a 456B-parameter language model and a multimodal vision-language model—employing novel Lightning Attention architecture for 4M-token context windows at 90% lower costs, matching GPT-4o/Claude-3.5-Sonnet performance
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
OpenSeek aims to unite the global open source community to drive collaborative innovation in algorithms, data and systems to develop next-generation models that surpass DeepSeek.
Fully open reproduction of DeepSeek-R1
Moxin is a family of fully open-source and reproducible LLMs
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a fast serving framework for large language models and vision language models.
LLM inference in C/C++
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
No fortress, purely open ground. OpenManus is Coming.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Makepad is a creative software development platform for Rust that compiles to wasm/webGL, osx/metal, windows/dx11 linux/opengl
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
001
Shaping the Future with Open-Source AI: Unleashing world-class performance in LLMs, multi-modal AI, cutting-edge image and video generation models, and pioneering on-device small LLMs pushing the boundaries of AI efficiency and accessibility.
002
Building Scalable AI with Open-Source Innovation: Advancing AI training, inference, fine-tuning, reinforcement learning frameworks, optimized on-device inference solutions, and seamless large-scale cloud deployment to enable next-generation AI capabilities.
003
Transforming Industries with Open-Source AI: Leveraging community-driven AI models to revolutionize healthcare, finance, and creative tools, while integrating open-source AI app development frameworks, agentic tools, Retrieval-Augmented Generation (RAGs), front-end AI applications, personal AI assistants, future AI operating systems, and smart AI hardware.
004
Propelling Open-Source Robotics Forward: Innovating community-driven robot design, expanding openly available datasets, developing advanced visual language models, and shaping policy frameworks that define the future of autonomous systems.
005
A dedicated space for AI practitioners, researchers, and engineers to explore the latest advancements in deep learning with PyTorch. From cutting-edge model development to scalable deployment, this track offers expert insights, hands-on sessions, and discussions shaping the future of AI with PyTorch.
Join our Lucky Draw for a chance to unlock MASSIVE DISCOUNTS on your conference ticket!
From foundational models to open-source breakthroughs, this is where ideas ignite. Join leaders and experts as they explore the most pressing challenges and the most promising opportunities in AI, from ethical considerations to the AGI future.
Showcasing the harmony between open-source ingenuity and technological excellence—immerse yourself in a world where savoir-faire meets groundbreaking innovation, setting the stage for a global AI revolution across six visionary tracks.
Cultivating a powerful synergy between academia, thriving open-source communities, and visionary industry leaders to drive AI breakthroughs, accelerate innovation, and shape the future of intelligent systems together.
Stay at the cutting edge with insights from the most impactful open-source AI projects, including Huggingface, Llama, Qwen, OpenSeek, Intern-LLM, Moxin, Mistral, vLLM, PyTorch, FlagOpen, and emerging trailblazers.
Connect with 500+ open-source AI project leaders, researchers, and practitioners driving the AI landscape forward.
Experience real-time coding labs, interactive AI tool demos, and expert-led sessions designed to provide practical skills and deep technical insights.
Witness the unveiling of groundbreaking AI projects from some of the most innovative startups pushing the boundaries of technology.
Step into the realm of innovation at GOSIM AI Spotlight—where Europe's rich tradition of creativity meets the cutting edge of open-source AI. Join us in this GOSIM AI co-located event that celebrates collaboration, diversity, and the pioneering spirit of our vibrant continent.
We're excited to bring you an incredible experience, made possible by the generous support of our Supporting Organizations.
The Venue
5 Parv. Alan Turing, 75013 Paris, France
Paris, France's capital, is a major European city and a global center for art, fashion, gastronomy and culture. Its 19th-century cityscape is crisscrossed by wide boulevards and the River Seine. Beyond such landmarks as the Eiffel Tower and the 12th-century, Gothic Notre-Dame cathedral, the city is known for its cafe culture and designer boutiques along the Rue du Faubourg Saint-Honoré.
Paris, France
May 6-7, 2025
Paris, the City of Light, transforms into the City of Artificial Brilliance this May. GOSIM AI 2025 invites visionaries, disruptors, and pioneers to converge at Station F, a crucible of innovation — to shape the next frontier of AI.