Brisket, Bots, & Breakthroughs #SFTechWeek
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Discover how Mindbeam’s Litespark is setting a new industry bar—delivering up to 6x faster LLM pre-training, doubling token and batch throughput, and reducing energy costs by over 50% for both startups and enterprises. In this dynamic panel, Mindbeam founder Nii Osae, Principal Research Scientist Moinul Rahat, PhD, and Datology founder Ari Morcos will discuss how advances in training models and agentic AI make real-world deployment possible at scale.
Join us by the fire(side) chat with BBQ to connect directly with the founders of Mindbeam and Datology, share bold ideas, and accelerate your LLM journey.
What We Will Cover:
- Analyze Mindbeam’s Litespark improvements to training efficiency, including measured speed-ups in LLM pre-training, throughput, and resource utilization across practical ML workflows.
- Examine Datology’s approach to agentic automation, synthetic data, and architectural implications for scalable, robust multi-modal models and real-world enterprise applications.
- Review concrete deployment patterns for generative models, detailing the trade-offs, reproducible benchmarks, and lessons from actual implementations by technical teams.
- Discuss case studies with a focus on design decisions, failure modes, and optimizations as experienced by organizations deploying Mindbeam and Datology in production settings.
- Engage in a participatory Q&A: attendees are encouraged to raise deep technical issues, probe modeling choices, and share practical challenges with panelists who welcome nuanced discussion—not surface-level hype.
Speakers:
- Nii Osae | 2nd time founder with 10+ years of experience in machine learning, applied neural cognitive architecture, scaling large AI applications.
He published scientific research papers on efficient training of large language models and code-generating LLMs in collaboration with Nvidia, AWS, Huggingface, and ServiceNow. He is also a Forbes 30 Under 30 recipient.
- Moinul Rahat, PhD | Moinul is an expert in Quantum Machine Learning (QML) and Quantum Optimization techniques to address complex challenges in particle physics and beyond. He has a PhD from the University of Florida, and was a Postdoctoral Fellow at University of Southampton and University of Valencia.
He developed a hybrid Quantum Generative Adversarial Network (QGAN) architecture with a quantum generator and classical discriminator utilizing PennyLane and PyTorch.
- Ari Morcos | Ari is the CEO and co-founder of DatologyAI, where the team is dedicated to helping customers build better AI models through improved data quality and methodology.
Prior to founding DatologyAI, he served as a senior staff research scientist at Meta AI Research (FAIR Team) in Menlo Park, focusing on exploring the mechanisms underlying neural network computation and function, and leveraging these insights to advance intelligent machine learning system design.
Join us by the fire(side) chat with BBQ to connect directly with the founders of Mindbeam and Datology, share bold ideas, and accelerate your LLM journey.
This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
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