Mark Huang
Co-Founder
Gradient
Presentation Title:
The Next Million AI Systems
Presentation Summary:
Gradient’s mission is to provide the most seamless development platform for easily customizing open-source Language Models (LLMs) and integrating them seamlessly into various AI applications. Our users can leverage our simple APIs to power the next generation of AI-embedded products.
This presentation delves into the paradigm shift toward “The Next Million AI Systems.” By democratizing AI model creation, we can substantially reduce barriers to entry, allowing us to prioritize the development of holistic AI systems over standalone models. We will also explore the technical advantages of fine-tuning and the utilization of a mixture of experts, showcasing how these techniques enhance the robustness and adaptability of AI systems, ultimately redefining the AI landscape.
This presentation delves into the paradigm shift toward “The Next Million AI Systems.” By democratizing AI model creation, we can substantially reduce barriers to entry, allowing us to prioritize the development of holistic AI systems over standalone models. We will also explore the technical advantages of fine-tuning and the utilization of a mixture of experts, showcasing how these techniques enhance the robustness and adaptability of AI systems, ultimately redefining the AI landscape.About | Mark Huang
Mark is a co-founder and Chief Architect at Gradient, a platform that helps companies build custom AI applications by making it extremely easy to fine-tune foundational models and deploy them into production. Previously, he was a tech lead in machine learning teams at Splunk and Box, developing and deploying production systems for streaming analytics, personalization, and forecasting. Prior to his career in software development, he was an algorithmic trader at quantitative hedge funds where he also harnessed large-scale data to generate trading signals for billion-dollar asset portfolios.