Mark Huang

Mark Huang, Co-founder of Gradient.ai, dives into the exciting advancements in AI, particularly long context learning. He discusses the evolution of context lengths, mapping out a timeline of breakthroughs and innovations in LLMs. Mark reflects on his team's work with Llama 3 and the challenges of training models with vast token capacities. He also sheds light on optimizing GPU performance and the pressing need for high-quality data in model training. Their vision is creating flexible AI solutions that truly adapt to enterprise workflows.

Mark Huang, Co-Founder of Gradient AI, discusses enterprise readiness for LLM-backed applications, open sourcing their Llama-3 finetune model, focus on healthcare and finance, and navigating GenAI infra space.

Mark Huang, Co-founder of Gradient, discusses the exciting world of autonomous AI agents and extending context windows for AI models. They explore the impact of longer context windows on use cases and share insights on advancements in AI technology.