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AI Conference
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| With Elliott Ning (AI Program Lead GenAI, NVIDIA), Rodney Brooks (Founder, RobustAI), Jai Malkani (Head of AI & Product Customer Obsession, Uber), Jeff Boudier (VP Product, Hugging Face), Yiqi Zhao (Product Design Lead, Meta), Shelby Heinecke (AI Research, Salesforce). |
| Pier 48, Mission Rock, San Francisco |
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Sep 17 (Wed) , 2025 @ 07:00 AM
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$850 |
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| DETAILS |
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The AI Conference Shaping the future of AI
Share 2 days with the brightest minds in AI
2 DAYS | 4 TRACKS | 100+ SPEAKERS
100+ visionary speakers across four tracks exploring the future of artificial intelligence. Get full access to all sessions, network at mixers, & experience the Startup Showdown with top early-stage founders. Connect with industry leaders & secure your spot today!
FOUR TRACKS
Comprised of researchers, engineers, & business leaders in AI. Explore cutting-edge technologies, learn from industry experts, & network with peers. Focuses on technical depth, practical applications, & strategic insights.
Featuring four distinct tracks, designed to provide a holistic perspective of the cutting edge of AI development:
AI Frontiers
The AI Frontiers track showcases breakthrough innovations defining the future of AI, exploring multimodal systems that blend text, audio, & imagery, advancements in generative models, autonomous agents driving complex workflows, & critical discussions around AI safety & governance.
Multimodal Frontier AI Models: Exploring systems that integrate text, images, audio, & more for enhanced human-AI interaction.
Advancements in Generative AI: Deep dives into new large language models & generative systems that power content creation & automation.
Open-Source & Compact Models: Practical insights on cutting-edge open-source projects & smaller models that deliver high performance.
Scalable AI Infrastructure: Best practices for deploying & scaling AI, including specialized hardware & cloud-native solutions.
AI Safety & Governance: Strategies for aligning AI with ethical standards & developing frameworks for safe, regulated deployment.
Autonomous AI Agents: Case studies & developments in AI agents that manage complex workflows autonomously.
AI Developers
The AI Developers track showcases practical skills & tools tailored specifically for engineers & developers, covering the latest frameworks, effective prompt engineering, fine-tuning methods, & best practices for deploying & managing AI models in production.
MLOps & LLMOps: Hands-on sessions on managing the AI lifecycle from training to production, with a focus on real-world deployment.
Fine-Tuning Techniques: Practical approaches for adapting pre-trained models using methods like LoRA for efficient, domain-specific tuning.
Prompt Engineering Best Practices: How to craft effective prompts to drive desired outputs & maximize the performance of large language models.
Development Frameworks & Tools: A review of the latest libraries & platforms (e.g., Hugging Face, LangChain) that accelerate AI development.
Automation & Agentic Workflows: Techniques for building AI-driven automation & agents to streamline multi-step processes.
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