Open Source Summit Europe 2024

Enterprises face myriad of challenges when it comes to development and deployment of Gen AI solutions. The development of new models, algorithms, fine tuning techniques, detecting and resolving bias and how we deploy large solutions at scale continues to evolve at a rapid pace. There is a lack of standardized software tools and technologies to choose from. Additionally, enterprises want the flexibility to innovate rapidly, extend the functionality to meet their business needs while ensuring the solution is secure and trustworthy. This talk introduces Open Platform for Enterprise AI (OPEA), a new project under LF AI & Data Foundation. The mission of OPEA is to create an open platform project that enables the creation of open, multi-provider, robust and composable GenAI solutions that harness the best innovation across the ecosystem. You will learn more about the mission, how the project is going to solve it, see reference RAG implementations in action, partners, roadmap and how you can join and contribute to this effort.

Join us for an insightful discussion on artificial intelligence (AI), where we'll explore concepts like superhuman intelligence and the pursuit of general intelligence. Grounding our conversation in empirical reality, we'll also address the crucial role of licenses and open-source initiatives in shaping the AI landscape. Through a thorough examination, we'll clarify the implications of superhuman intelligence and assess our current proximity to its realization. While AI has made significant strides, achieving machines that surpass human cognitive abilities remains a distant goal. With a commitment to clarity, we'll navigate through exaggerated claims, revealing fundamental truths about AI's capabilities. Get ready for an engaging dialogue that challenges conventional perspectives and provides practical insights into the intersection of AI and reality!

Defining Open Source AI is the most significant challenge facing the Open Source movement. Government regulations have begun, companies are calling AI systems “Open Source” even though their licenses contain restrictions and limitations that go against the widely accepted principles and freedoms of Open Source. The Open Source Initiative (OSI) presents its critical project: Defining Open Source AI. The talk will present the Release Candidate of the Open Source AI Definition, the result of multi-year, global, multi-stakeholder process. The session will be highly interactive, soliciting feedback to a standard that will surely have significant impacts on the world of AI and on the Open Source community at large.

Explore the transformative potential of open collaboration in shaping the landscape of GenAI. Generative AI Commons under LF AI & Data emerges as a beacon of collaborative innovation, dedicated to fostering openness and inclusivity in GenAI development. Within Generative AI Commons, dedicated workstreams drive forward key initiatives, including the Model Openness Framework (MOF), the Responsible AI Framework (RAF). The MOF advocates for transparent and accessible AI model development, democratizing research and accelerating progress. Complementing this, the RAF ensures ethical AI development, prioritizing transparency, fairness, accountability, and inclusivity to benefit society. Generative AI Commons serves as an incubator for diverse projects and initiatives, fueling innovation in GenAI. From cutting-edge research to collaborative tool development, the community thrives on open collaboration. Join us as we unveil the breadth of initiatives within Generative AI Commons, showcasing how open collaboration propels creativity and progress in GenAI. Together, let's harness the power of collaboration to shape a future where GenAI benefits all.